{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "source": [
    "# 读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "'en_US.UTF-8'"
      ],
      "text/latex": [
       "'en\\_US.UTF-8'"
      ],
      "text/markdown": [
       "'en_US.UTF-8'"
      ],
      "text/plain": [
       "[1] \"en_US.UTF-8\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Sys.setlocale(\"LC_CTYPE\", \"en_US.UTF-8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "data=read.csv(\"./all_in_one/all_in_one3.csv\",header=T)\n",
    "# data=read.csv(\"./all_in_one/all_in_one.csv\",header=T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "data$home_win = data$home_team_goal > data$away_team_goal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "'logical'"
      ],
      "text/latex": [
       "'logical'"
      ],
      "text/markdown": [
       "'logical'"
      ],
      "text/plain": [
       "[1] \"logical\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "typeof(data$home_win)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 画图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "Plot with title \"age\""
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEJkxgyYSdj9MhQIAAgcUp8Mic9tMn/NS/mvO7asLP0ekRIECAwHYWUCBt5wHw8wQIEOiIwOk77LDD65YuXXrvJPbn7rvvXnrfffd9JOf2i5N4fs6JAAECBCZHYMfJORVnQoAAAQKLWGDHl7zkJTuccMIJO0xiH9atWzd13nnn+WfeJA6OcyJAgMCECUzkP8gmzMjpECBAgAABAgQIECDQiIACqZGB1k0CBAgQIECAAAECBEYLKJBGGzmCAAECBAgQIECAAIFGBBRIjQy0bhIgQIAAAQIECBAgMFpAgTTayBEECBAgQIAAAQIECDQioEBqZKB1kwABAgQIECBAgACB0QIKpNFGjiBAgAABAgQIECBAoBEBBVIjA62bBAgQIECAAAECBAiMFlAgjTZyBAECBAgQIECAAAECjQgokBoZaN0kQIAAAQIECBAgQGC0gAJptJEjCBAgQIAAAQIECBBoRECB1MhA6yYBAgQIECBAgAABAqMFFEijjRxBgAABAgQIECBAgEAjAgqkRgZaNwkQIECAAAECBAgQGC2gQBpt5AgCBAgQIECAAAECBBoRUCA1MtC6SYAAAQIECBAgQIDAaAEF0mgjRxAgQIAAAQIECBAg0IiAAqmRgdZNAgQIECBAgAABAgRGCyiQRhs5ggABAgQIECBAgACBRgQUSI0MtG4SIECAAAECBAgQIDBaQIE02sgRBAgQIECAAAECBAg0IqBAamSgdZMAAQIECBAgQIAAgdECCqTRRo4gQIAAAQIECBAgQKARAQVSIwOtmwQIECBAgAABAgQIjBZQII02cgQBAgQIECBAgAABAo0IKJAaGWjdJECAAAECBAgQIEBgtIACabSRIwgQIECAAAECBAgQaERAgdTIQOsmAQIECBAgQIAAAQKjBRRIo40cQYAAAQIECBAgQIBAIwIKpEYGWjcJECBAgAABAgQIEBgtoEAabeQIAgQIECBAgAABAgQaEVAgNTLQukmAAAECBAgQIECAwGgBBdJoI0cQIECAAAECBAgQINCIgAKpkYHWTQIECBAgQIAAAQIERgsokEYbOYIAAQIECBAgQIAAgUYEFEiNDLRuEiBAgAABAgQIECAwWkCBNNrIEQQIECBAgAABAgQINCKgQGpkoHWTAAECBAgQIECAAIHRAgqk0UaOIECAAAECBAgQIECgEQEFUiMDrZsECBAgQIAAAQIECIwW2HH0IZ07Ynl6tEeyc3JrcmNyW6IRIECAAAECBAgQINC4QCtXkPbPOJ+eXJNcn1yRXJZsSqpIujw5LVmRaAQIECBAgAABAgQINCrQwhWk4zO266bHd2OWn0+qSKrCqK4kPTRZnRyVHJ4ck3w80QgQIECAAAECBAgQaEyg6wXSERnPKo4+lRyXXJzM1pZk50HJycmZyYZkfaIRIECAAAECBAgQINCQQNdvsTssY/ndpJbDiqMa7vuSC5ODk1uStYlGgAABAgQIECBAgEBjAl0vkPbLeNYtdVvGHNcbctwlyZ5jHu8wAgQIECBAgAABAgQ6JND1AunqjNUByU5jjlnNcFdFVU3goBEgQIAAAQIECBAg0JhA1wukMzKeT0zOSg7cytj2nkGqZ5V2Tc7eyrE+IkCAAAECBAgQIECgowJdn6ShZqNbmZyYHJJsTjYl1yU3J7snNYvd3smq5O7k2OSiRCNAgAABAgQIECBAoDGBrhdINfnCKck5yUnJmmTmlaTbs++qpGawOzW5MtEIECBAgAABAgQIEGhQoOsFUm9Iaya7I6c36qpRvf9ol6ReHHtTohEgQIAAAQIECBAgQGCq688gzTbES7OzUn3fLXlwohEgQIAAAQIECBAgQKCZAmn/jPXpSV0xuj65IqmZ6up5pFuTy5PTkhWJRoAAAQIECBAgQIBAowIt3GJ3fMZ23fT4bsyy3otURVIVRnWrXU3SsDo5Kjk8OSapyR00AgQIECBAgAABAgQaE+h6gXRExrOKo5q++7jk4mS21pvmuyZqODPZkKxPNAIECBAgQIAAAQIEGhLo+jNIh2Usa4KGWg4rjmq4a7a7C5ODk1uStYlGgAABAgQIECBAgEBjAl0vkPbLeNYtdVvGHNcbctwlyZ5jHu8wAgQIECBAgAABAgQ6JND1AunqjNUByU5jjtnyHFdFVU3goBEgQIAAAQIECBAg0JhA1wukMzKeT0zOSma+ILZ/qHvPINWzSrsmZ/d/aJ0AAQIECBAgQIAAgTYEuj5JQ81GtzI5MTkk2ZxsSq5Lbk52T2oWu72TVcndybHJRYlGgAABAgQIECBAgEBjAl0vkGryhVOSc5KTkjXJzCtJt2ffVUnNYHdqcmWiESBAgAABAgQIECDQoEDXC6TekNZMdkdOb9RVo3r/0S5JvTj2pmSh22PyhV9Klo35xXWLXx1b53TvmH/jMAIECBAgQIAAAQIEFliglQKpn21pNir1/NVuSd1Wd1uykO17+bLXJONODlHPSb0nqfG4M9EIECBAgAABAgQIENgOAq0USPvH9ujk0GTFLM51hemC5F3JtbN8PtdddRXo03P4o3omSiNAgAABAgQIECBAYDsLtFAgHR/jddPOG7Os9yJdn9ya1K12NUnD6uSo5PDkmOTjiUaAAAECBAgQIECAQGMCXS+Qjsh4VnFU03cfl1yczNbqGaCDkpqo4cxkQ7I+0QgQIECAAAECBAgQaEig6+9BOixjWbfP1XJYcVTDXbPdXZgcnNySrE00AgQIECBAgAABAgQaE+h6gbRfxrNuqdsy5rjekOMuSfYc83iHESBAgAABAgQIECDQIYGuF0hXZ6wOSMadTW55jq2i6rJEI0CAAAECBAgQIECgMYGuF0hnZDxrCu2zkpkviO0f6t4zSPWs0q7J2f0fWidAgAABAgQIECBAoA2Brk/SULPRrUxOTA5JNiebkppW++Zk96Rmsds7WZXUO5GOTS5KNAIECBAgQIAAAQIEGhPoeoFUky+ckpyTnJSsSWZeSbo9+65Kaga7U5MrE40AAQIECBAgQIAAgQYFul4g9Ya0ZrI7cnqjrhrV+492Sa5Jbko0AgQIECBAgAABAgQITLVSIPUPdd1aV6lWt9bVFaUqlL6V3JFoBAgQIECAAAECBAg0KtD1SRp+KeNazyE9aMb4PjXb/5xsSD6dfCWpGe/enixNNAIECBAgQIAAAQIEGhToeoFUV4fq1rplfWO7V9b/IXlm8qXktOQTya3J7ybvSTQCBAgQIECAAAECBBoUaPEWuyqC6hmkNycf6Bvzmt77w8lbk/OSCxKNAAECBAgQIECAAIGGBLp+BWm2oXxOdn4x6S+O6riaze4Xk5oC/IWJRoAAAQIECBAgQIBAYwItFkg1i92lQ8a5Jmm4LPnRIZ/bTYAAAQIECBAgQIBAhwVaLJC+nPGsSRpmaw/LzmclNWGDRoAAAQIECBAgQIBAYwKtPINUt9TVhAxVHK1PfjM5NPlk0murs/LupCZ0+FxvpyUBAgQILH6BjRs3Ti1btuwnlyxZcvGk9mbLli1/kHM7fVLPz3kRIECgFYGuF0g12cJDkqcnr5lOFv/W6hmkXoH08qyfnZRHFVA1q51GgAABAh0RuOGGG6Ye85jHPOyFL3xh3Skwce2zn/3s1Le+9a3n5cQUSBM3Ok6IAIHWBLpeIP15BrRSrWauq0KplyW1c7rVu4/q+aMqjGoWu/sSjQABAgQ6JLDPPvtMvfa1r53IHn3ve9+rAmkiz81JESBAoDWBrhdI/eN5Uzbq1rnZbp87P/vr/1W8K9EIECBAgAABAgQIEGhUoKUCaWtDXFePNAIECBAgQIAAAQIEGhdocRa7xodc9wkQIECAAAECBAgQGCagQBomYz8BAgQIECBAgAABAs0JKJCaG3IdJkCAAAECBAgQIEBgmIACaZiM/QQIECBAgAABAgQINCegQGpuyHWYAAECBAgQIECAAIFhAgqkYTL2EyBAgAABAgQIECDQnIACqbkh12ECBAgQIECAAAECBIYJKJCGydhPgAABAgQIECBAgEBzAgqk5oZchwkQIECAAAECBAgQGCagQBomYz8BAgQIECBAgAABAs0JKJCaG3IdJkCAAAECBAgQIEBgmIACaZiM/QQIECBAgAABAgQINCegQGpuyHWYAAECBAgQIECAAIFhAgqkYTL2EyBAgAABAgQIECDQnIACqbkh12ECBAgQIECAAAECBIYJKJCGydhPgAABAgQIECBAgEBzAgqk5oZchwkQIECAAAECBAgQGCagQBomYz8BAgQIECBAgAABAs0JKJCaG3IdJkCAAAECBAgQIEBgmIACaZiM/QQIECBAgAABAgQINCegQGpuyHWYAAECBAgQIECAAIFhAgqkYTL2EyBAgAABAgQIECDQnIACqbkh12ECBAgQIECAAAECBIYJKJCGydhPgAABAgQIECBAgEBzAgqk5oZchwkQIECAAAECBAgQGCagQBomYz8BAgQIECBAgAABAs0JKJCaG3IdJkCAAAECBAgQIEBgmIACaZiM/QQIECBAgAABAgQINCegQGpuyHWYAAECBAgQIECAAIFhAgqkYTL2EyBAgAABAgQIECDQnIACqbkh12ECBAgQIECAAAECBIYJKJCGydhPgAABAgQIECBAgEBzAgqk5oZchwkQIECAAAECBAgQGCagQBomYz8BAgQIECBAgAABAs0JKJCaG3IdJkCAAAECBAgQIEBgmIACaZiM/QQIECBAgAABAgQINCegQGpuyHWYAAECBAgQIECAAIFhAgqkYTL2EyBAgAABAgQIECDQnIACqbkh12ECBAgQIECAAAECBIYJKJCGydhPgAABAgQIECBAgEBzAgqk5oZchwkQIECAAAECBAgQGCagQBomYz8BAgQIECBAgAABAs0JKJCaG3IdJkCAAAECBAgQIEBgmIACaZiM/QQIECBAgAABAgQINCegQGpuyHWYAAECBAgQIECAAIFhAgqkYTL2EyBAgAABAgQIECDQnIACqbkh12ECBAgQIECAAAECBIYJKJCGydhPgAABAgQIECBAgEBzAgqk5oZchwkQIECAAAECBAgQGCagQBomYz8BAgQIECBAgAABAs0JKJCaG3IdJkCAAAECBAgQIEBgmIACaZiM/QQIECBAgAABAgQINCegQGpuyHWYAAECBAgQIECAAIFhAgqkYTL2EyBAgAABAgQIECDQnIACqbkh12ECBAgQIECAAAECBIYJKJCGydhPgAABAgQIECBAgEBzAgqk5oZchwkQIECAAAECBAgQGCaw47APOrx/efq2R7JzcmtyY3JbohEgQIAAAQIECBAg0LhAK1eQ9s84n55ck1yfXJFclmxKqki6PDktWZFoBAgQIECAAAECBAg0KtDCFaTjM7brpsd3Y5afT6pIqsKoriQ9NFmdHJUcnhyTfDzRCBAgQIAAAQIECBBoTKDrBdIRGc8qjj6VHJdcnMzWlmTnQcnJyZnJhmR9ohEgQIAAAQIECBAg0JBA12+xOyxj+d2klsOKoxru+5ILk4OTW5K1iUaAAAECBAgQIECAQGMCXS+Q9st41i11W8Yc1xty3CXJnmMe7zACBAgQIECAAAECBDok0PUC6eqM1QHJTmOOWc1wV0VVTeCgESBAgAABAgQIECDQmEDXC6QzMp5PTM5KDtzK2PaeQapnlXZNzt7KsT4iQIAAAQIECBAgQKCjAl2fpKFmo1uZnJgckmxONiXXJTcnuyc1i93eyark7uTY5KJEI0CAAAECBAgQIECgMYGuF0g1+cIpyTnJScmaZOaVpNuz76qkZrA7Nbky0QgQIECAAAECBAgQaFCg6wVSb0hrJrsjpzfqqlG9/2iXpF4ce1OiESBAgAABAgQIECBAYKrrzyDNNsRLs7NSfd8teXCiESBAgAABAgQIECBAoJkCaf+M9elJXTG6PrkiqZnq6nmkW5PLk9OSFYlGgAABAgQIECBAgECjAi3cYnd8xnbd9PhuzLLei1RFUhVGdatdTdKwOjkqOTw5JqnJHTQCBAgQIECAAAECBBoT6HqBdETGs4qjmr77uOTiZLbWm+a7Jmo4M9mQrE80AgQIECBAgAABAgQaEuj6M0iHZSxrgoZaDiuOarhrtrsLk4OTW5K1iUaAAAECBAgQIECAQGMCXS+Q9st41i11W8Yc1xty3CXJnmMe7zACBAgQIECAAAECBDok0PUC6eqM1QHJTmOO2fIcV0VVTeCgESBAgAABAgQIECDQmEDXC6QzMp5PTM5KZr4gtn+oe88g1bNKuyZn939onQABAgQIECBAgACBNgS6PklDzUa3MjkxOSTZnGxKrktuTnZPaha7vZNVyd3JsclFiUaAAAECBAgQIECAQGMCXS+QavKFU5JzkpOSNcnMK0m3Z99VSc1gd2pyZaIRIECAAAECBAgQINCgQNcLpN6Q1kx2R05v1FWjev/RLkm9OPamZKHbY/KFX07Gffap67c6LrSv7yNAgAABAgQIECCwTQRaKZD68ZZmo1JFyW5J3VZ3W7KQ7Xv5slcny8b80npO6j1jHuswAgQIECBAgAABAgS2kUArBdL+8Ts6OTRZMYtlXWG6IHlXcu0sn8911735g7+dwx/VM1EaAQIECBAgQIAAAQLbWaCFAun4GK+bdt6YZb0X6frk1qRutatJGlYnRyWHJ8ckNbmDRoAAAQIECBAgQIBAYwJdL5COyHhWcVTTdx+XXJzM1pZk50FJTdRwZrIhWZ9oBAgQIECAAAECBAg0JND1yQEOy1jW7XO1HFYc1XDXbHcXJgcntyRrE40AAQIECBAgQIAAgcYEul4g7ZfxrFvqtow5rjfkuEuSPcc83mEECBAgQIAAAQIECHRIoOsF0tUZqwOScafbXp5jq6i6LNEIECBAgAABAgQIEGhMoOsF0hkZz5pC+6xk5gti+4e69wxSPau0a3J2/4fWCRAgQIAAAQIECBBoQ6DrkzTUbHQrkxOTQ5LNyaakptW+Odk9qVns9k5WJfVOpGOTixKNAAECBAgQIECAAIHGBLpeINXkC6ck5yQnJWuSmVeSbs++q5Kawe7U5MpEI0CAAAECBAgQIECgQYGuF0i9Ia2Z7I6c3qirRvX+o12Sa5KbEo0AAQIECBAgQIAAAQJTrRRI/UNdt9ZVem1FVh6WfDu5t7fTkgABAgQIECBAgACB9gS6PknDOCP6thz0zeQh4xzsGAIECBAgQIAAAQIEuivQ9StINWX3g0cMX++dR8/Kcb0rS/Uc0qYRf+djAgQIECBAgAABAgQ6JtD1AumjGa+njTlmNcV3r/1WVtb1NiwJECBAgAABAgQIEGhDoOsF0ocyjDWLXU3I8MmkbqWb2V6QHc9O3pfcMf2hab6nISwIECBAgAABAgQItCTQQoH0DxnQeh/STyQXJB9IavrvXnt3VqpAqitG1/d2WhIgQIAAAQIECBAg0J5AC5M0/EuGtQqgP0jqPUefTnrPHWVVI0CAAAECBAgQIECAwL8LtFAgVU+3JDVb3YuTJyWXJq9ONAIECBAgQIAAAQIECPyHQCsFUq/Dn81KzWx3fvKJpG69W55oBAgQIECAAAECBAgQaPJFsTdk3H86+euknkfaPdEIECBAgAABAgQIECAw1doVpP4h/9/ZqCnA/zz5++SuRCNAgAABAgQIECBAoGGBrs9iN2poN+SAI0Yd5HMCBAgQIECAAAECBNoQaPkKUhsjrJcECBAgQIAAAQIECIwtoEAam8qBBAgQIECAAAECBAh0XUCB1PUR1j8CBAgQIECAAAECBMYWUCCNTeVAAgQIECBAgAABAgS6LqBA6voI6x8BAgQIECBAgAABAmMLzLdAOiS/8P7kWWP/kgMJECBAgAABAgQIECAw4QLzmeZ7Sfr03mTf5NFJFUsaAQIECBAgQIAAAQIEFr3AfAqkg9PrKo6+nbws2Se5PNEIECBAgACBeQhcccUVU8uWLTt8yZIlz5/Hnz8gf7Jly5bfzw+d+oD8mB8hQIDAdhSYT4H0KznfG5PDkq8nRye/mmgECBAgQIDAPARuvvnmqX333Xe3l7/85bvN48+3+Z+ce+65U1//+tf33+Y/5AcIECAwAQJzLZAek3Ouq0b1/NE3k3OT1yW/mdyWaAQIECBAgMA8BFavXj31ile8Yh5/ue3/5NJLL60Cadv/kF8gQIDABAjMdZKGN+Wc628+NH3uf5DlQ5Kfm962IECAAAECBAgQIECAwKIVmEuB9KD08heSv0sum+7xp7Os54/ePL1tQYAAAQIECBAgQIAAgUUrMJcC6TXp5UOTP+zr7X1Zr6tJT05e1LffKgECBAgQIECAAAECBBadwFwKpJqc4erk7Bm9/Ei2f5gcM2O/TQIECBAgQIAAAQIECCwqgXELpJq5ZlXyweSuGT28PttVJD0zqWM0AgQIECBAgAABAgQILEqBcWex+0p694it9LCm+q5oBAgQIECAAAECBAgQWLQC4xZI/R1cno09kp2TW5N6J5IpvoOgESBAgAABAgQIECCwuAXmcovd6enqNUndUndFUjPZbUqqSKqZ7E5LViQaAQIECBAgQIAAAQIEFqXAOFeQjk/P1k33bmOWn0+qSKrCqK4k1cx2q5OjksOTmqzh44lGgAABAgQIECBAgACBRSUwqkA6Ir2p4uhTyXHJxclsbUl2HpScnJyZbEjWJxoBAgQIECBAgAABAgQWjcCoW+wOS0++m9RyWHFUna33IV2YHJzckqxNNAIECBAgQIAAAQIECCwqgVEF0n7pTd1St2XMXt2Q4y5J9hzzeIcRIECAAAECBAgQIEBgYgRGFUhX50wPSHYa84xrhrsqqmoCB40AAQIECBAgQIAAAQKLSmBUgXRGevPE5KzkwK30rPcMUj2rtGty9laO9REBAgQIECBAgAABAgQmUmDUJA01G93K5MTkkGRzsim5Lrk52T2pWez2TlYldyfHJhclGgECBAgQIECAAAECBBaVwKgCqSZfOCU5JzkpWZPMvJJ0e/ZdldQMdqcmVyYaAQIECBAgQIAAAQIEFp3AqAKp16Gaye7I6Y26alTvP9olqRfH3pRoBAgQIECAAAECBAgQWPQCowqkx6aH/yX5Wl9P69a6ikaAAAECBAgQIECAAIFOCYyapOGE9ParyWnJsk71XGcIECBAgAABAgQIECAwQ2BUgdQ7/Kis1PuQaspvjQABAgQIECBAgAABAp0UmEuBtDoCX0g+mOzTSQ2dIkCAAAECBAgQIECgaYFxC6Q/jdKPJn+VvCn5TnJe8vJk3O/IoRoBAgQIECBAgAABAgQmV2Auxc2/phs/lfxMclny0uSvkyqW3pm8OKl3IWkECBAgQIAAAQIECBBYlAJzKZB6HayXxz45OSj5aFJFUb0j6fyk3odUL5GtZ5Y0AgQIECBAgAABAgQILCqBUdN8b60z/5gPK8ckr0ieljwpqeLJlaQgaAQIECBAgAABAgQILC6B+1Mg9XpaL4r9o97G9HI+V6ZmfIVNAgQIECBAgAABAgQIPLAC26qQufeB7YZfI0CAAAECBAgQIECAwP0XGFUg/VJ+YvekrhJpBAgQIECAAAECBAgQ6LTAqFvsfpjeVzQCBAgQIECAAAECBAh0XmBUgTQKYO8c8ITkmuRbyR2JRoAAAQIECBAgQIAAgUUpMM4tdjWt94Nm9O6p2f7nZEPy6eQrydXJ25OliUaAAAECBAgQIECAAIFFJzCqQDowPToyWdbXs72y/g/JM5MvJacln0huTX43eU+iESBAgAABAgQIECBAYNEJzOcWuyqC9kjenHygr8e7Zv3DyVuT85ILEo0AAQIECBAgQIAAAQKLRmDUFaTZOvKc7Pxi0l8c1XG3J7+YXJe8MNEIECBAgAABAgQIECCwqATmUyDVtN+XDullTdJwWfKjQz63mwABAgQIECBAgAABAhMrMJ8C6cvpTU3SMFt7WHY+K6kJGzQCBAgQIECAAAECBAgsKoFxn0GqW+pqQoYqjtYnv5kcmnwy6bXVWXl3UhM6fK6305IAAQIEFkTglUuXLv2ZBfmmbfAl99xzzzO2wdf6SgIECBAg8IALjCqQarKFhyRPT14znSz+rdUzSL0C6eVZPzup76sCqma10wgQIEBg4QR+8lGPetRhz372sxfuGxfwm847r/5xoREgQIAAgcUvMKpA+vN0sVKtZq6rQqmXJbVzutW7j+r5oyqMaha7+xKNAAECBBZQ4ClPecrU2972tgX8xoX7qvXr6/8b0wgQIECAwOIXGFUg9ffwpmzUrXOz3T53fvbX80d3JRoBAgQIECBAgAABAgQWpcB8Jmno72hdOXpcsnOiOOqXsU6AAAECBAgQIECAwKITGKdAWplefSj5o77e1e12f5jclnwnqXcfXZIcm2gECBAgQIAAAQIECBBYlAKjbrH7kfTq4mTP5MLpHu6U5WeTmrHo3uTvkx8k9eTwe5O6onR0Up9pBAgQIECAAAECBAgQWDQCo64gvTM9qeLoHcnB0736lSyrOPpwUp+9IDkieXzyvuSXkxclGgECBAgQIECAAAECBBaVwKgC6cfTmyuS/5Fsme7ZQVnemNRVou9P76vFnUnNYHdl8uJEI0CAAAECBAgQIECAwKISGFUg1S14X0n6b5e7J9sbk7uSma2Ouyqpq0kaAQIECBAgQIAAAQIEFpXAqALpy+nNTyQ1hXevXZiVfZMVvR19y0dk/ZnJ1/r2WSVAgAABAgQIECBAgMCiEBhVIJ2eXtQU3l9N6ta6av8rqcLpT5NHJr1WL5Ct4unu5C96OydwuTzn9OjkCUk9Q/XgRCNAgAABAgQIECBAgMDUqALpSzGqSRdqNrt6QWxdGfpA8s3k+cmG5BvJvyZ1K17NYPfm5NJkktr+OZkq9q5Jrk/quarLkk3JrcnlyWnJbFfFslsjQIAAAQIECBAgQKAFgXrGaFSr9x+dl/y35GeStUm9ILZaTfn9pKTeh/R/kpOSryeT1I7PyaybPqGNWX4+qSKpCqN6n9NDk9XJUcnhyTHJxxONAAECBAgQIECAAIHGBMYpkIqkrhDVVN+VKo7qWaO6Pe32pK7C1Kx2k9hq+vEqjj6VHJdcnMzWlmRn3UJ4cnJmsiFZn2gECBAgQIAAAQIECDQkMOoWu9ko7snORyV1Namm/p7U4iinNnVY8t3p5bDiqI67L6nnpw5ObknqKplGgAABAgQIECBAgEBjAvMpkIroyUndirZXbUxw2y/nVrfUVSE3TrshB12S1NUxjQABAgQIECBAgACBxgTmWyAtFqarc6IHJPWs1DitZriroqomcNAIECBAgAABAgQIEGhMoOsF0hkZzycmZyUHbmVse88g1bNKuyZnb+VYHxEgQIAAAQIECBAg0FGBcSdpeFr6/64+g0dPr5+Q5Rv79r8t69/r297eqzUb3crkxOSQZHNSk0pcl9yc7J7ULHZ7J6uSeofTsclFiUaAAAECBAgQIECAQGMC4xZID4/LK/ps6opLtZr5rSY46LUqRCapQKpzOyU5JzkpWZPMvJJUM/FdldQMdqcmVyYaAQIECBAgQIAAAQINCoxbIP1tbHrvPiqm1yUfSV6cfDaZ9PbdnOCR0ydZV43q/Ue7JPXi2JsSjQABAgQIECBAgAABAlNdfwZptiGuQq9Sfd8teXCiESBAgAABAgQIECBAoJkCaf+M9elJXTG6PrkiqZnqNiW3JpcnpyUrEo0AAQIECBAgQIAAgUYFxr3FbibPbdlRz+qM+36hmX//QG4fnx9bN/2DG7Os9yJVkVSFUd1qV5M0rE6OSg5PjklqcgeNAAECBAgQIECAAIHGBOZbIP1pnCqT3o7ICVZxVNN3H5dcnMzWlmRnTThREzWcmWxI1icaAQIECBAgQIAAAQINCXT9GaTDMpY1QUMthxVHNdw1292FycHJLcnaRCNAgAABAgQIECBAoDGBrhdI+2U865a6cW8FvCHHXpLsmWgECBAgQIAAAQIECDQmMOoWu7Pi8cStmNyTz25Ork7+MamJDn6YTEqr8zog2Sm5a4yTWp5jqqiqfmgECBAgQIAAAQIECDQmMKpA2iceTx7T5JU57sjk0KRmi5uEdkZO4mNJFXr1otgvJLO1egbpecl7k12TsxONAAECBAgQIECAAIHGBEYVSDVxwdZuw6u/f3iyV/L6pIqkf0r2Te5Otner2ehWJicmhySbk03JdUld+do9qVns9k5WJXXOxyYXJRoBAgQIECBAgAABAo0JjCqQasKCUa2KjW8kn04+mLwpeXrypWR7t5p84ZTknKSuIK1JDkz62+3ZuCo5OTk1qenLNQIECBAgQIAAAQIEGhQYVSDNleT9+YMqkOrK0yQUSL3zr5ns6va/anXVqN5/tEtStwLelCx0e2y+sPq/bMwv3tpVujG/wmEECBAgQIAAAQIECNxfgYUukK7ICdVVm+ckdeVmEtvSnFSlipLdkrqtrl58u5BtQ77s1clOY35pTYTx3jGPdRgBAgQIECBAgAABAttIYKELpHqepyY8uHYbne98v3b//OHRSU0gsWKWL6krTBck70oW4tzvzff8bTJuu37cAx1HgAABAgQIECBAgMC2E1joAqmuHFX74r8vJuI/j89ZrJs+k41Z1nuRqiC5Nalb7aqoW50clRyeHJPU5A4aAQIECBAgQIAAAQKNCSxkgfSE2L1n2m9SCqQjcj5VHH0qOS65OJmt1VWvem6qJmo4M9mQrE80AgQIECBAgAABAgQaEhhVIL0uFjVN9rDWe47nsTngpUldkalnj76ZTEI7LCdRt8/VcstWTqiem7owOTj5XrI2USAFQSNAgAABAgQIECDQksCoAuktwXjamCB35bjfSN495vEPxGH75UfqlrqtFUf953FDNi5J9uzfaZ0AAQIECBAgQIAAgTYERhVIVez8yFYo7slnNU3295N6QexCzwaXr7xf7er89QFJzSZXBdyotjwHVFF12qgDfU6AAAECBAgQIECAQPcERhVIn1jkXT4j5/+x5KykXhT7hWS2Vs8gPS+pqbZ3Tc5ONAIECBAgQIAAAQIEGhMYVSD1OJ6UlTcl5yQ1HfbM9srseH5SRUhdTZqUVrPR1TNUJyaHJJuTTcl1yc3J7knNYrd3siq5Ozk2uSjRCBAgQIAAAQIECBBoTGDcAqkmOqgXnz47mVkg1UtXa2KGutXuzckktZp8oc6tCrsq3tYkByb97fZsXJWcnJyaXJloBAgQIECAAAECBAg0KDBugVSTHHw4eUfyjKR/uuy6MvOopK7STGqrAu/I6ZOrq0Z7JLsk1yRV2GkECBAgQIAAAQIECBCYqmm6x20fyoE1KcMbZ/xB3Xp3Y/KxGfsndbNuraurRN9JqjjaOdk3qSthGgECBAgQIECAAAECDQvMpUDaGKdPJnUlpq7AVKvC4sXJR5JJm8Eup/Qf7TFZ++Xkp5LdpveuyvLPkx8k30qqcKrb8HZKNAIECBAgQIAAAQIEGhSYS4FUPB9IHpysrY20KjrqOZ8P1saEtrfmvOoWuz9M/iK5NFmR/H5yeFITM/xNUleT3pkslithOVWNAAECBAgQIECAAIGFFJhrgfTZ/Pg3kiqMajrs1ybnJlWATGJ7SU6qJl/4l+QtSc1QV88g/WPyquTtySOTlyWPTf53Uvv/30QjQIAAAQIECBAgQKAxgR3n0d+6WlSpKzLLk/clk9rqlrrbkgOnl3WeVcz9ZbIpqeKpnquq9sPkl5KXTufTWWoECBAgQIAAAQIECDQkMNcrSEXz0aSe11mbfDOZOe13dk1Mq8LoU0kVSb32t1mpYuivk15x1Pvsjqxcljy+t8OSAAECBAgQIECAAIF2BOZTIN0ang8l/5r83oRT3ZDzqyKpv5/13qN3JVXczWwPyY5nJfVeJI0AAQIECBAgQIAAgcYE+guHuXT97Tn4Ecnpc/mj7XBs3Sa3V1KFXJ1vr9WtdTNvDazZ634nqWm/61krjQABAgQIECBAgACBxgTmWyAtFqaaqe7ipCZo2JDUM1OztZrNrp5Jqnc8/V3yfxKNAAECBAgQIECAAIHGBOZbIB0Sp/cndTvaJLcf5uSel9T7jS5J6pa72VpNXb4sqatKNaNdTV2uESBAgAABAgQIECDQmMB8ZrFbEqP3JvWS2EcnVSxNcquJF+qZo8qw9mf54Mxk5qQNw463nwABAgQIECBAgACBDgrM5wrSwXGo4ujbSV1t2SdZ7K2KKMXRYh9F50+AAAECBAgQIEDgfgrMp0D6lfzmjclh07999P08B39OgAABAgQIECBAgACBiRCYa4H0mJx1XTU6I6lpss9NXpfUMzwaAQIECBAgQIAAAQIEFrXAXAukN6W39Tf1HqRqf5DUu4N+rjY0AgQIECBAgAABAgQILGaBuRRID0pHfyGpabAvm+50vWfo8uTN09sWBAgQIECAAAECBAgQWLQCcymQXpNePjT5w77e1nTYdTXpycmL+vZbJUCAAAECBAgQIECAwKITmEuBVJMzXJ2cPaOXH8l2vW/omBn7bRIgQIAAAQIECBAgQGBRCYxbIO2fXq1KPpjcNaOH12e7iqRnJnWMRoAAAQIECBAgQIAAgUUpMO6LYr+S3j1iKz2sqb5N970VIB8RIECAAAECBAgQIDD5AuNeQZr8njhDAgQIECBAgAABAgQI3E8BBdL9BPTnBAgQIECAAAECBAh0R0CB1J2x1BMCBAgQIECAAAECBO6nwKhnkN6Q7999Hr+xPn/z+Xn8nT8hQIAAAQIECBAgQIDAdhMYVSC9KWf29Hmc3W/lbxRI84DzJwQIECBAgAABAgQIbD+BUQXSS3Nqf5H8eHJOUtN5j9O+Nc5BjiFAgAABAgQIECBAgMAkCYwqkL6fk31B8rmkiqV1SU35rREgQIAAAQIECBAgQKBzAuNM0rAlvX79dM/f3zkBHSJAgAABAgQIECBAgMC0wDgFUh36L8k7k5qw4amJRoAAAQIECBAgQIAAgc4JjFsgVcdPTvZLLq0NjQABAgQIECBAgAABAl0TmEuB1LW+6w8BAgQIECBAgAABAgQGBEZN0jBwcDYenKxKlidVXN2UXJtcl2gECBAgQIAAAQIECBBY1ALjXkE6KL28KLkx+U7yxeSfkm8mP0guT96bPCjRCBAgQIAAgQ4JXHbZZdWbtcm9E5z/XiepESBA4P4KjHMF6Q35kQ8mtyZfSB6XPDyp2e1OTx6R7J8cm7wsOTL5WqIRIECAAAECHRDYsmXL1IEHHrhk7dqqkSavffSjH536whe+UHe4aAQIELjfAqMKpOfkF/5nUtN7vz25I6mrTnVF6XeTRyZHJPX/KD0/+UhSV5Yen2xKNAIECBAgQKADAg972MOmnvnMZ05kT84999yJPC8nRYDA4hQYdYvdIenWJclbkiqOqlUxVC+O/dnkp5J6kex9yd8nL0yWJb+caAQIECBAgAABAgQIEFhUAqMKpJ9Ib+p2uSqAZrZ67ui25MV9H2zI+leSp/Tts0qAAAECBAgQIECAAIFFITCqQKoJGJ6dzHYr3mOzv2a1629Ls7FX0rva1P+ZdQIECBAgQIAAAQIECEy0wKgC6fyc/ROS05L+Yuhh2a7njapd+O+LqT2yPClZmayf3mdBgAABAgQIECBAgACBRSMw25Wh/pM/NRuvSn4hOTT5UlLtx5KHJH+WnJdU+3ryqKRusauJHTQCBAgQIECAAAECBAgsKoFRV5DuTm9qEob3JHX73Eumc1eW70h+Jum1ejfSbyfPS+7s7bQkQIAAAQIECBAgQIDAYhEYdQWp+nF78uvTqXce3ZNcm8xsh8/cYZsAAQIECBAgQIAAAQKLSWCcAqm/P9/v37BOgAABAgQIECBAgACBLgmMusVunL7We4+elvRP4jDO3zmGAAECBAgQIECAAAECEyUwboH00znrDyRvTx433YPdsvyTpKYC/2pyc/LRpGaz0wgQIECAAAECBAgQILDoBEbdYlcF1F8mNYNdr/1GVuqK0W8mNcPdZ5P/P9k/+bnkMcmaZLaXy2a3RoAAAQIECBAgQIAAgckUGHUF6Q057SqOLpheHp3lDclnktcnRyQvSn4peXZSRVPNYvfqRCNAgAABAgQIECBAgMCiEhh1Bem/pjfXJ4ckP5zu2aYsz0nOS/58el9v8TtZOSqpIukTvZ2WBAgQIECAAAECBAgQWAwCo64g7Z1O1C10veKo+lRXj+5NvlEbM1rtvyJZPWO/TQIECBAgQIAAAQIECEy8wKgCaWN6ULfQ7dLXk5dmvf7uyX37eqt1ReoZyYbeDksCBAgQIECAAAECBAgsFoFRBVLdSrc8qdvpfip5R/L7Sc1aV4XSa5Jeq+/6cFKz2/19ohEgQIAAAQIECBAgQGBRCYx6Bul/pjcvSepZpBdM9+za6X2/neWZyVuSei7px5JHJucnZyUaAQIECBAgQIAAAQIEFpXAqAKpnik6LKmrR89Jvpt8MvnX5NeTeknsy5NnJ3ck70/qXUkaAQIECBAgQIAAAQIEFp3AqAKp16G/zEqlv92YjdcmdWtdTeawMbkn0QgQIECAAAECBAgQILAoBcYtkHqde3BWViX1XFIVRjcldctdzVynESBAgAABAgQIECBAYFELjFsgHZRe/m5St9LN9jd1611dYaoXxdatdhoBAgQIECBAgAABAgQWnUBdBRrV3pAD6t1HT0q+kNTzR9W2JB9MehMyHJv1LydPSzQCBAgQIECAAAECBAgsOoFRBVJNzFAz2X0o2TN5XlIz1f0/yVem1386y8clNctdvS/pn5JHJRoBAgQIECBAgAABAgQWlcCoAumQ9OaS5C1J79a5mtnuc8nPJjW7XRVG9yV/n7wwqZntfjnRCBAgQIAAAQIECBAgsKgERhVIP5HefC2pAmhmuzw7bkte3PfBhqzXlaWn9O2zSoAAAQIECBAgQIAAgUUhMKpA+kF6MWxihsfms5rVrr8tzcZeSe9qU/9n1gkQIECAAAECBAgQIDDRAqMKpPNz9k9ITkv6i6GHZfsjSbUL/30xtUeWJyUrk/XT+ywIECBAgAABAgQIECCwaARmm7K7/+RPzcarkl9IDk2+lFT7seQhyZ8l5yXVvp7U5Ax1i11N7KARIECAAAECBAgQIEBgUQmMuoJ0d3pTkzC8J6nb514ynbuyfEfyM0mvfTErv508L7mzt9OSAAECBAgQIECAAAECi0Vg1BWk6sftya9P5xFZ3pNcm8xsh8/cYZsAAQIECBAgQIAAAQKLSWDUFaSZffl+dlRxdGBSt989PtEIECBAgAABAgQIECDQCYG5Fki9Tj85K8ckNWOdRoAAAQIECBAgQIAAgU4IzLdA6kTndYIAAQIECBAgQIAAAQL9Agqkfg3rBAgQIECAAAECBAg0LTDOJA0F9LTkXX1Sj55ePyHLN/btf1vWv9e3PYmry3NS9c6mnZNbkxuT2xKNAAECBAgQIECAAIHGBcYtkB4ep1f0WS2ZXj8oy/v69p+Y9UkskPbPeR2d1LucViQz23ez44KkisDZZuibebxtAgQIECBAgAABAgQ6KDDuLXZ/m77Xe5B6ef20xYv79tVnX5veP0mL43MyFyd1znckn0/OTf4k+VRS72/aNTkq+WbymkQjQIAAAQIECBAgQKBBgXGvIC1WmiNy4uuSKoSOS6pQmq3VFbG6GnZycmayIVmfaAQIECBAgAABAgQINCQw7hWkxUpyWE68bp+r5bDiqPpWtwlemByc3JKsTTQCBAgQIECAAAECBBoTmG+BVJMaXJlsmXCv/XJ+dUvduOd5Q469JNkz0QgQIECAAAECBAgQaExgvgXSn8ZpdXLRhHsFj+jGAAA3XElEQVRdnfM7INlpzPOsGe6qqLpszOMdRoAAAQIECBAgQIBAhwTmWyAtFoIzcqJPTM5KDtzKSfeeQapnlWrChrO3cqyPCBAgQIAAAQIECBDoqEDXJ2n4eMZtZVLTjx+SbE42JdclNye7Jw9N9k5WJXcnxyaTfmUsp6gRIECAAAECBAgQILDQAqMKpLryUldghrV78kEVGnUr2z8mpyU/TCal1eQLpyTnJCcla5KZV5Juz76rkpOTU5N6tkojQIAAAQIECBAgQKBBgVEF0j4xefKYLq/McUcmhybXjPk3D9RhNZNdnVu1umq0R7JLUud5U6IRIECAAAECBAgQIEBgalSBVO8G2tpzSvX3D0/2SupFrFUk/VOyb1K3q01iW5qTqlS/dkvqPGtWPo0AAQIECBAgQIAAgcYFRhVI9U6gUa2e5/lG8unkg8mbkqcnX0ompe2fEzk6qatbK2Y5qbrCdEHyruTaWT63iwABAgQIECBAgACBBgS2dnVoPt1///Qf1ZWnSWnH50QuTuoK1x1JvRfp3ORPkpq17ovJrslRyTeT1yQaAQIECBAgQIAAAQINCoy6gjRXkivyBzUxwnOSmhxhe7cjcgLrkiqEjkuqUJqt9ab5rokazkw2JOsTjQABAgQIECBAgACBhgQW+gpSTZldxcak3KZ2WM6lbp+r5bDiKB/9W1F3YZYHJ3Vb4dpEI0CAAAECBAgQIECgMYGFLpDqylG1um1tEtp+OYm6pW7LmCdzQ467JNlzzOMdRoAAAQIECBAgQIBAhwQWskB6QlzeM20zKQXS1TmfA5Kdps9r1GJ5Dqii6rJRB/qcAAECBAgQIECAAIHuCYx6Bul16fLKrXS7CqyaKvuxyUuTer9QPXtUkx1MQjsjJ/GxpF54Wy+K/UIyW6vbAp+XvDepCRvOTjQCBAgQIECAAAECBBoTGFUgvSUeTxvT5K4c9xvJu8c8/oE47OP5kSrwTkwOSTYnm5KamvzmZPeknpvaO1mV1DuRjk0uSjQCBAgQIECAAAECBBoTGFUgVbHzI1sxuSef3ZR8P6kXxN6WTFKrGfXqitY5SV1BWpMcmPS327NxVVIz2J2aXJloBAgQIECAAAECBAg0KDCqQPpER0xqJrsjp/tSV432SHZJrkmqwFvoVrccfjnZacwvXshnwcb8SYcRIECAAAECBAgQIDBTYFSB1Dv+SVl5U1JXYi7o7exbvjLrz0/qKk1dTZrktjQnV+k9P1W31S30la8N+c5XJcuScdoTc1A9/6QRIECAAAECBAgQILAdBcYtkOoKzKuTZyczC6QqNuo2troS8+ZkEtv+Oamjk0OTFbOcYPWv+vWuZCHe4XRvvuf8ZNx2/bgHOo4AAQIECBAgQIAAgW0nMO6tXfUeoQ8nVSA9Y8bpHJLtRyXvn7F/UjaPz4lcnLw+uSOp9yKdm/xJ8qmkpiSvmeuOSmr2vdckGgECBAgQIECAAAECDQqMWyAVzYeSmpThjbXR1+rWuxuTj/Xtm5TVI3Ii65IqhOp9SDVbXb3M9ieTuiL20qQmbXhkUrcIXpGcmfReeJtVjQABAgQIECBAgACBVgTmUiBtDMonk5rsoCY5qLZv8uLkI8lCP8eTr7zf7bB8Q90+V8u6ijSs3ZcPLkwOTm5J1iYaAQIECBAgQIAAAQKNCcylQCqaDyQPTnoFxC9nvYqLDyaT2PbLSdUtdXWL4Djthhx0SbLnOAc7hgABAgQIECBAgACBbgnMtUD6bLr/jaQKo3pu57VJPc9TV2kmsV2dk6pb68adbnt5jq2i6rJEI0CAAAECBAgQIECgMYG5FkjFU1eLnpz8YVIFxfuSSW1n5MRqCu2zknrWaFhbkg8OSupZpSr8zk40AgQIECBAgAABAgQaExh3mu9+lo9m478ndZtdzfo2c9rv7JqY9vGcycrkxKRm29ucbEquS25Odk8emuydrEruTo5NLko0AgQIECBAgAABAgQaE5hPgXRrjD6U/HzyexPuVc9H1TuazklOStYkM68k3Z59VyUnJ6cmVyYaAQIECBAgQIAAAQINCsynQCqmt09nsZDVM1I1+161umpUs/DtklyT3JRoBAgQIECAAAECBAgQmJpvgbRY6eqZq7q1rjJbW5qdVUDdkfxwtgPsI0CAAAECBAgQIECguwLzmaRhsWk8PCf8J8n1SRVGf5c8N5mtPTU767i6QqYRIECAAAECBAgQINCYQNcLpN0ynv+cvCqpq0M1QcPzkwuTeiZJI0CAAAECBAgQIECAwH8IdP0Wu19LT/dK1iU1CcMtSb0X6SPJO5MHJb+aaAQIENg/BC+cYIZ6vYJGgAABAgQIbGOBrhdIz4lfTcRwYlJTeFf7clKz2f1V8takXib7nkQjQKBtgWN22223n125cuVdk8iwcePGnSfxvJwTAQIECBDomkDXC6Q9M2D/kPSKo9741cx1Pzn92buz/F7yp4lGgEC7AkvWrFmz4wknnDCR/7v4ile8ot2R0XMCBAgQIPAACnT9GaQqfF6c1JTeM1tN2PCyZFNyRjJs4oZ8pBEgQIAAAQIECBAg0IJA1wukz2QQ651Hv5M8cpYB3Zx9P5HUs0nnJS9PNAIECBAgQIAAAQIEGhXoeoH0gYzrN5J61ujK5NXJzPat7Dg4uTc5cfrDJdNLCwIECBAgQIAAAQIEGhLoeoFUL3s9MHlfsjG5M5mtfTU7n5l8arYP7SNAgAABAgQIECBAoA2BiXwYeYHpb833vWU6WysIL88xL02elVRhpREgQIAAAQIECBAg0JhACwVS/5DWbXSjWr1YViNAgAABAgQIECBAoEGBrV1RaZBDlwkQIECAAAECBAgQaFlAgdTy6Os7AQIECBAgQIAAAQIDAgqkAQ4bBAgQIECAAAECBAi0LKBAann09Z0AAQIECBAgQIAAgQEBBdIAhw0CBAgQIECAAAECBFoWUCC1PPr6ToAAAQIECBAgQIDAgIACaYDDBgECBAgQIECAAAECLQsokFoefX0nQIAAAQIECBAgQGBAQIE0wGGDAAECBAgQIECAAIGWBRRILY++vhMgQIAAAQIECBAgMCCgQBrgsEGAAAECBAgQIECAQMsCCqSWR1/fCRAgQIAAAQIECBAYEFAgDXDYIECAAAECBAgQIECgZQEFUsujr+8ECBAgQIAAAQIECAwIKJAGOGwQIECAAAECBAgQINCygAKp5dHXdwIECBAgQIAAAQIEBgQUSAMcNggQIECAAAECBAgQaFlAgdTy6Os7AQIECBAgQIAAAQIDAgqkAQ4bBAgQIECAAAECBAi0LKBAann09Z0AAQIECBAgQIAAgQEBBdIAhw0CBAgQIECAAAECBFoWUCC1PPr6ToAAAQIECBAgQIDAgIACaYDDBgECBAgQIECAAAECLQsokFoefX0nQIAAAQIECBAgQGBAQIE0wGGDAAECBAgQIECAAIGWBRRILY++vhMgQIAAAQIECBAgMCCgQBrgsEGAAAECBAgQIECAQMsCCqSWR1/fCRAgQIAAAQIECBAYEFAgDXDYIECAAAECBAgQIECgZQEFUsujr+8ECBAgQIAAAQIECAwIKJAGOGwQIECAAAECBAgQINCygAKp5dHXdwIECBAgQIAAAQIEBgQUSAMcNggQIECAAAECBAgQaFlAgdTy6Os7AQIECBAgQIAAAQIDAgqkAQ4bBAgQIECAAAECBAi0LKBAann09Z0AAQIECBAgQIAAgQEBBdIAhw0CBAgQIECAAAECBFoWUCC1PPr6ToAAAQIECBAgQIDAgIACaYDDBgECBAgQIECAAAECLQsokFoefX0nQIAAAQIECBAgQGBAQIE0wGGDAAECBAgQIECAAIGWBRRILY++vhMgQIAAAQIECBAgMCCgQBrgsEGAAAECBAgQIECAQMsCCqSWR1/fCRAgQIAAAQIECBAYEFAgDXDYIECAAAECBAgQIECgZQEFUsujr+8ECBAgQIAAAQIECAwIKJAGOGwQIECAAAECBAgQINCygAKp5dHXdwIECBAgQIAAAQIEBgQUSAMcNggQIECAAAECBAgQaFlAgdTy6Os7AQIECBAgQIAAAQIDAgqkAQ4bBAgQIECAAAECBAi0LKBAann09Z0AAQIECBAgQIAAgQEBBdIAhw0CBAgQIECAAAECBFoWUCC1PPr6ToAAAQIECBAgQIDAgIACaYDDBgECBAgQIECAAAECLQsokFoefX0nQIAAAQIECBAgQGBAQIE0wGGDAAECBAgQIECAAIGWBXZssPPL0+c9kp2TW5Mbk9sSjQABAgQIECBAgACBxgVauYK0f8b59OSa5PrkiuSyZFNSRdLlyWnJikQjQIAAAQIECBAgQKBRgRauIB2fsV03Pb4bs/x8UkVSFUZ1JemhyerkqOTw5Jjk44lGgAABAgQIECBAgEBjAl0vkI7IeFZx9KnkuOTiZLa2JDsPSk5Ozkw2JOsTjQABAgQIECBAgACBhgS6fovdYRnL7ya1HFYc1XDfl1yYHJzckqxNNAIECBAgQIAAAQIEGhPoeoG0X8azbqnbMua43pDjLkn2HPN4hxEgQIAAAQIECBAg0CGBrhdIV2esDkh2GnPMaoa7KqpqAgeNAAECBAgQIECAAIHGBLpeIJ2R8XxiclZy4FbGtvcMUj2rtGty9laO9REBAgQIECBAgAABAh0V6PokDTUb3crkxOSQZHOyKbkuuTnZPalZ7PZOViV3J8cmFyUaAQIECBAgQIAAAQKNCXS9QKrJF05JzklOStYkM68k3Z59VyU1g92pyZWJRoAAAQIECBAgQIBAgwJdL5B6Q1oz2R05vVFXjer9R7sk9eLYmxKNAAECBAgQIECAAAECU11/Bmm2IV6anZXq+27JgxONAAECBAgQIECAAAECzRRI+2esT0/qitH1yRVJzVRXzyPdmlyenJasSDQCBAgQIECAAAECBBoVaOEWu+Mztuumx3djlvVepCqSqjCqW+1qkobVyVHJ4ckxSU3uoBEgQIAAAQIECBAg0JhA1wukIzKeVRzV9N3HJRcns7XeNN81UcOZyYZkfaIRIECAAAECBAgQINCQQNefQTosY1kTNNRyWHFUw12z3V2YHJzckqxNNAIECBAgQIAAAQIEGhPoeoG0X8azbqnbMua43pDjLkn2HPN4hxEgQIAAAQIECBAg0CGBrhdIV2esDkh2GnPMlue4KqpqAgeNAAECBAgQIECAAIHGBLpeIJ2R8XxiclYy8wWx/UPdewapnlXaNTm7/0PrBAgQIECAAAECBAi0IdD1SRpqNrqVyYnJIcnmZFNyXXJzsntSs9jtnaxK7k6OTS5KNAIECBAgQIAAAQIEGhPoeoFUky+ckpyTnJSsSWZeSbo9+65Kaga7U5MrE40AAQIECBAgQIAAgQYFul4g9Ya0ZrI7cnqjrhrV+492SerFsTclC90emy/8cjLus09dv9VxoX19HwECBAgQIECAAIFtItBKgdSPtzQblSpKdkvqtrrbkoVsG/Jlr0qWjfml9ZzUe8c81mEECBAgQIAAAQIECGwjgVYKpP3jd3RyaLJiFsu6wnRB8q7k2lk+n+uue/MH58/hj66fw7EOJUCAAAECBAgQIEBgGwm0UCAdH7t1034bs6z3IlVBcmtSt9rVJA2rk6OSw5NjkprcQSNAgAABAgQIECBAoDGBrhdIR2Q8qziq6buPSy5OZmu9ab5rooYzkw3J+kQjQIAAAQIECBAgQKAhga5PDnBYxrJun6vlsOKohrtmu7swOTi5JVmbaAQIECBAgAABAgQINCbQ9QJpv4xn3VK3ZcxxvSHHXZLsOebxDiNAgAABAgQIECBAoEMCXS+Qrs5YHZCMO9328hxbRdVliUaAAAECBAgQIECAQGMCXS+Qzsh41hTaZyUzXxDbP9S9Z5DqWaVdk7P7P7ROgAABAgQIECBAgEAbAl2fpKFmo1uZnJgckmxONiXXJTcnuyc1i93eyaqk3ol0bHJRohEgQIAAAQIECBAg0JhA1wukmnzhlOSc5KRkTTLzStLt2XdVUjPYnZpcmWgECBAgQIAAAQIECDQo0PUCqTekNZPdkdMbddWo3n+0S3JNclOiESBAgAABAgQIECBAYKqVAql/qOvWuopGgAABAgQIdEDgjjvuqF7slfzXCe7Ol3NudZu/RoDAhAu0WCBN+JA4PQIECBAgQGAuAt/5znemdthhhxcsW7bsoLn83QN17J133rn03nvv/eP83usfqN/0OwQIzF9AgTR/O39JgMDcBN6w8847v2luf/LAHX3XXXetfuB+zS8RILCQAvfdd9/US17ykiUnnHDCuK/1WMifH/ld69atmzrvvPOWjjzQAQQITIRA1wukN0S5njmaa1ufP6gXzGoECCycwHMf/ehHP/1FL3rRwn3jAn7Txz72sQX8Nl9FgAABAgQILFaBrhdI9f9WP30eg/Nb+RsF0jzg/AmBrQnss88+Uz//8z+/tUO222fnnFOTXWoECBAgQIBA6wJdL5BemgH+i+THk/q3n48k47RvjXOQYwgQIECAAAECBAgQ6JZA1wuk72e4XpB8LqliaV3ylUQjQIAAAQIECBAgQIDAfxLY4T/t6d6OLelSb9aY93eve3pEgAABAgQIECBAgMBCCbRQIJXVvyTvTGrChqcmGgECBAgQIECAAAECBP6TQCsFUnX85GS/5NLa0AgQIECAAAECBAgQIDBToKUCaWbfbRMgQIAAAQIECBAgQGBAQIE0wGGDAAECBAgQIECAAIGWBRRILY++vhMgQIAAAQIECBAgMCCgQBrgsEGAAAECBAgQIECAQMsCCqSWR1/fCRAgQIAAAQIECBAYEFAgDXDYIECAAAECBAgQIECgZQEFUsujr+8ECBAgQIAAAQIECAwIKJAGOGwQIECAAAECBAgQINCygAKp5dHXdwIECBAgQIAAAQIEBgQUSAMcNggQIECAAAECBAgQaFlAgdTy6Os7AQIECBAgQIAAAQIDAgqkAQ4bBAgQIECAAAECBAi0LKBAann09Z0AAQIECBAgQIAAgQEBBdIAhw0CBAgQIECAAAECBFoWUCC1PPr6ToAAAQIECBAgQIDAgIACaYDDBgECBAgQIECAAAECLQsokFoefX0nQIAAAQIECBAgQGBAQIE0wGGDAAECBAgQIECAAIGWBRRILY++vhMgQIAAAQIECBAgMCCgQBrgsEGAAAECBAgQIECAQMsCCqSWR1/fCRAgQIAAAQIECBAYEFAgDXDYIECAAAECBAgQIECgZQEFUsujr+8ECBAgQIAAAQIECAwIKJAGOGwQIECAAAECBAgQINCygAKp5dHXdwIECBAgQIAAAQIEBgQUSAMcNggQIECAAAECBAgQaFlAgdTy6Os7AQIECBAgQIAAAQIDAgqkAQ4bBAgQIECAAAECBAi0LKBAann09Z0AAQIECBAgQIAAgQEBBdIAhw0CBAgQIECAAAECBFoWUCC1PPr6ToAAAQIECBAgQIDAgIACaYDDBgECBAgQIECAAAECLQsokFoefX0nQIAAAQIECBAgQGBAQIE0wGGDAAECBAgQIECAAIGWBRRILY++vhMgQIAAAQIECBAgMCCgQBrgsEGAAAECBAgQIECAQMsCCqSWR1/fCRAgQIAAAQIECBAYEFAgDXDYIECAAAECBAgQIECgZQEFUsujr+8ECBAgQIAAAQIECAwIKJAGOGwQIECAAAECBAgQINCygAKp5dHXdwIECBAgQIAAAQIEBgQUSAMcNggQIECAAAECBAgQaFlAgdTy6Os7AQIECBAgQIAAAQIDAgqkAQ4bBAgQIECAAAECBAi0LKBAann09Z0AAQIECBAgQIAAgQEBBdIAhw0CBAgQIECAAAECBFoWUCC1PPr6ToAAAQIECBAgQIDAgIACaYDDBgECBAgQIECAAAECLQsokFoefX0nQIAAAQIECBAgQGBAYMeBLRsECBAgQIAAAQILKvCDH/ygvu+Zye8t6Bcv7Jf9Vb7u7xb2K30bgcUpoEBanOPmrAkQIECAAIFFIrB58+apFStWPPnxaZN4yt/5znd2vPbaa5fn3BRIkzhAzukBF1AgPeDkfpAAAQIECBBoTeBZz3rWkhNOOGHZJPZ73bp1U+edd96SSTw350Rgewh4Bml7qPtNAgQIECBAgAABAgQmUkCBNJHD4qQIECBAgAABAgQIENgeAm6x2x7qfpPAthGo2yMevG2+ekG+1f/eLAijLyFAgAABAgS2pYB/YdmWur6bwAMrULMj/bcH9if9GgECBAgQIECgWwIKpG6Np960LbD8uc997tQb3vCGiVT4tV/7tYk8LydFgAABAgQIEOgXUCD1a1gnsMgF9thjj6knPelJE9mLZcsmcvKmibRyUgQIECBAgMD2EzBJw/az98sECBAgQIAAAQIECEyYgAJpwgbE6RAgQIAAAQIECBAgsP0EFEjbz94vEyBAgAABAgQIECAwYQIKpAkbEKdDgAABAgQIECBAgMD2E1AgbT97v0yAAAECBAgQIECAwIQJKJAmbECcDgECBAgQIECAAAEC209AgbT97P0yAQIECBAgQIAAAQITJqBAmrABcToECBAgQIAAAQIECGw/AQXS9rP3ywQIECBAgAABAgQITJiAAmnCBsTpECBAgAABAgQIECCw/QQUSNvP3i8TIECAAAECBAgQIDBhAgqkCRsQp0OAAAECBAgQIECAwPYT2HH7/bRfJkCAAAECBAgQ2N4C3/72t6d22GGHn815/PT2Ppdhv3/vvff+j3x2wrDP7SewkAIKpIXU9F1dF/i5nXfe+RcntZN33nnnvpN6bs6LAAECBCZX4I477ph6xjOesfTII49cOoln+YlPfGLqS1/60t6TeG7OqZsCCqRujqtebRuBF+21115rnve8522bb7+f33rWWWfdz2/w5wQIECDQqsDKlSunJvWfb5/5zGdaHRb93k4CCqTtBO9nF6fAvvvuO/XGN75xIk/+/PPPn8jzclIECBAgQIAAgcUkYJKGxTRazpUAAQIECBAgQIAAgW0qoEDapry+nAABAgQIECBAgACBxSTQ4i12yzNAeyQ7J7cmNya3JRoBAgQIECBAgAABAo0LtFIg7Z9xPjo5NFkxy5h/N/suSN6VXDvL53Y9MAIvy8+84oH5qXn9ynPm9Vf+iAABAgQIEJi3wObNm6d23HHHg5csWVL/rjaR7a677vpITuzjE3lyTmrOAi0USMdHZd20zMYsP59cn9TVo7qS9NBkdXJUcnhyTOK/4EHYDu1Vj3zkI9fut99+922H3x75k5/73OeWjDzIAQQIECBAgMCCCvzgBz+YWr169arnPve5qxb0ixfoy/LvB1MbN268N19X/345qe1rObGrJ/XkJu28ul4gHRHwKo4+lRyXXJzM1v5ve3cCbd1ZkAc4EyFMgUBAC0JjCjRFIWFoDAZMABENFkiKFo2gq2DVLtqKYmtdKINYTKmoDVoUF1kgSBWFImotUBNTMEkxDAYFgw2JEqbgT4KImdP3zb837pzce/9zzh1yh+db6717Hr7nnP3v/Z29z/l74fv45GeSNyWXJ3+U7LbyzEMPPfTM7Vqpm2666VEnnHDCwS9+8Yu3ZUPkjDO2882t7fqq2i8CBAgQILB+geOOO+6g5z//+etf0Sas4dxzzz0od7e+MddYT9yE1a97lbm+OviWW245Jyt63rpXtkdWsC0vRDfQvo2dk5KHJdfNsd5+P+mKpHeQvn+O+Veb5dhMuDg5fLUZZsb3xzL6najOf+PMtI0c/JWs7LkbucKNXlf+J+9b8g/MTRu93o1YX26fH5r9O8j+LafJbzm3cSl+o8RyXX7LuY1L8RslluvyW85tXIrfKLFc98Ybbzw0DaQ+AqiBNCfhbm8gXRKH3lL8rjk9Ott7ks8n/6wDS5Y2eJ6U3GnO5fs6HJ28fs75l53t/lnwhGUX3oLl+rhjy3a9RW3/9r8+y/7lt6zc/uX48VufwPqW9v7jtz6B9S3t/bc+vy79weST61+NNewGgXemEh9J5m2o9A7SF5JXJgoBAgQIECBAgAABAgR2lUC/b9Mv/P928nVr1Kx3cPodpIuSPuJ2cqIQIECAAAECBAgQIEBgVwm04fOCpP/PURtKn0guTH43efPQvSDd3nLs9BuSf5coBAgQIECAAAECBAgQ2LUC/dGENoiuTNoQmqaNp48l/yV5YKIQIECAAAECBAgQILBHBXqHZa+VI1Ph/v9HRySfTa5JFAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGDrBA7euk3ZEoG5BA6fay4zESBAgAABAgQIzCtw/bwzmu+ggzSQvAu2k8CF2Zmv2047ZF8IECBAgAABArtA4KLU4aRdUI8tqcJhW7IVGyEwn8Blme2vk5fPN7u5COwpgRcNtXV87KmXXWXnFHB8zAlltj0p0OPjmj1Z8yUrrYG0JJzFNkWgt3+vSi7YlLVbKYGdLdBjo8Xxsd/BXwJTAcfHVEM/gdsKjMfHbccaWlXgkFWnmECAAAECBAgQIECAAIE9JqCBtMdecNUlQIAAAQIECBAgQGB1AQ2k1W1MIUCAAAECBAgQIEBgjwloIO2xF1x1CRAgQIAAAQIECBBYXUADaXUbUwgQIECAAAECBAgQ2GMCGkh77AVXXQIECBAgQIAAAQIEVhfQQFrdxhQCBAgQIECAAAECBPaYgAbSHnvBVZcAAQIECBAgQIAAgdUFNJBWtzGFAAECBAgQIECAAIE9JnDYHquv6m5vgeu39+7ZOwJ3qIDj4w7lt/FtLuD42OYvkN27QwUcH3cov40TWJ/AvbN4oxAgcHsBx8ftTYwhMAo4PkYJXQK3F3B83N7EGAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEtofAodtjN+zFLhd4RurX99pVk3oenP6vTo46QP4u029KxvKg9Nxrlfxtxt88zqhLYIcIrHR8THf9iAw8Ovn65O7J55LpMZHB25SvytApSbufTW5IFAI7VWAjjw/nj536LrDfqwkc6Pi4Sxbs+eORyaeS65O1ivPHWjqmEdhAge/Num5JfnhmnfcYxnfaWjlxstz9DjDvQyfz6iWwEwRWOz7GfX9iei5PpsfIxzPc8SuVl2ZkG0Tj/Dem/9+vNKNxBHaAwEYeH84fO+AFt4sLCRzo+Hh61tYPycbzQRtH70q+MlmpOH9MVA6b9OslsNECPTh/YZWV9kD92VWm9UR2ZtJPOy6bzHPC0P/udD88GT/2fn7s0SWwAwTWOj66+/20+61JT27/Ifnd5LTkR5O3JccnlydjeXJ6fiLptJ9M7pS8LDkr6Z3YsxOFwE4R2Ojjw/ljp7zy9nMegQMdHydnJT0X7Euek7w36V2k/5p0/KnJdclYnD9GCV0Cmyhwn6z7jUkv7K4durN3kDJ61fJbmdID97Ezc/Qises8ZWa8QQI7SWDe4+OFqVTf723kTMtLMtDxL5qMvGv6P558Ipk+On34MP6vZsZnUCGwLQU24/hoRZ0/tuXLbacWFJj3+Hhf1tvzxONm1n9ihm9Ofm4y3vljgjH2HjL26BLYQIHfy7p6B+gtyb9acL3fkfnPSF6RXDCzbD8B7AH//pnxBgnsJIF5j4+jh0r98Uzlzh+G/8Fk/CnpPybpBxPT7yf1Tu2vJV+VfHOiENjuAptxfLTOzh/b/ZW3f/MIzHN83Dkr6t2ii5P3zKz0/2b4o8m3T8Y7f0wwxl4NpFFCdyMFelD2dm0PwKsXWHGfi311cmnSBtJs6Qmu0/qpeBtSL0iekvRLiAqBnSIw7/HRZ8VbvufWv3//57uH3nF6B08cxvXkN1vGcY+ZnWCYwDYU2Izjo9V0/tiGL7ZdWlhgnuOjH571SYIrVln7FzK+8zxgmO78sQqU0QQ2U+BpWXnv+szziN3rh3mnn2yM+9ZbwP1k/NNJD+6uc0wbTeMBnl6FwI4RWOv46AmuX5q9Mflw8tNJ75728YifSfodo7H8Ynp6PJwyjph0Hz9M++XJOL0EdoLARh0fzh874dW2j4sKrHZ89NxwQ/LBFVbYD6J7LdXzxcOH6c4fA8S04w7SVEP/HSlwVDbehtGnkn6BcLY8IiP6fu18P5k8LPmapHeajk3ekdw7UQjsFoGexN6Q/FnS93q/Q9HHJi5LXpP0BDiWI4ee/gT4bNk3jLjb7ATDBHawwCLHh/PHDn6h7frCAj039NG645NeV03LmRkYr/3vMUxw/pgKDf0j0gqTjCKwpQLPztb6/730U+7phd+4E70o7GN1T0xemXwk6YXjjyX9NP1+yQ8lCoHdItAT2yVJ/3+vE5P+H0jt9i5qPxns9LFcO/Ss9G9670S19IJSIbBbBBY5Ppw/dsurrh7zCvzbzHh98ubkDckLk19NXpKcn7T03NLi/LHfwV8CWyrwtGytt3IP9IhdLwTbMLp/smjpp+vdRn8GWSGwkwTWOj4uSEV6R2j2zug9M+6TyYeSsbwsPT0GThlHTLqnpr/Tzp6M00tgJwhs1PGxVl2dP9bSMW07C6x1fHS/+8RBv4PaD8fGu0r9VbtfSXpOOCZpcf7Y73Cbv4fcZsgAgTtG4KRs9muTPlrXC79Fy1XDAkcuuqD5CWxTgftmv3q36P8k+2b28ZoMvyt5RPKgYdp43Mw2pjp5HHflMK8OgZ0usOjxsVZ9nT/W0jFtJwt8IDvf80ivjY5K2jjqo3fHJl9KxnOC80cwZosG0qyI4TtC4EnDRt++xsZfkGl/nvQxu9ly3DCi0xUCu0Ggn/j13+f7rVKZw4fx4+NzfeS0ZaU7SOO4fpKoENgNAoseH84fu+FVV4dFBJ6WmZ87LNBH6b449B+d7snJRUnvKrU4f+x38JfAlgr0IO2t3LUesXvjME+/ULha+eeZ0PX017wOnszU/t9POu0bJuP1EtgJAmsdH3+aCvQZ8sfMVOQBGb46+cTM+D/JcH/kpJ8WjqWP4/U7S/0k8bBxpC6BHSKwUceH88cOecHt5kICax0fv5k19bro8TNrfGWG+wHD7PWS88cMlEECmy2w1gE8bvv96elPGd95HLFCt5+U/0HSA/7c5NnJ6ck7k457baIQ2GkCax0fPbH1RLYv6S/YPSF5XnJF0vf8acm09O5qx1+cPDP5tmQ8th6VfoXAThPYqOPD+WOnvfL2dx6BtY6PU7KCXlddmvyb5FuT1yU9R7w8mS3OH7MihglsssBaB3A33ceI+izseIu341YrR2XCf0t60Pcgb/ol9h9JFAI7UeBAx0cbSZck4/u93T5K+uRkpXJmRu5LxvnbPz5msdL8xhHYzgIbeXw4f2znV9q+LSNwoOPjWVlpnyoYzwf9tbqzk9WeJnD+CI5CYCcL9OfAH54cs5MrYd8JLCBwn8z76OS+cyzTx04fnPTXuda6KzvHqsxCYEcILHJ8OH/siJfUTm6QQBtDD036FYa7zbFO5485kMxCgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIENgNAofuhkqoAwECBLZI4Mhs57Tk8OQzW7TNnbSZo7Kz35L03HLVTtrxXbavm/k+PTFWzWXJTQu6beZ+LbgrZidAgAABAgQIENgIgUdkJbckZ2/EynbhOk4afM7ahXXbSVXazPfpW4bX+L5LgCy6X1+bbbxpie1YhAABAusSOGxdS1uYAAECBAgQ2EsC709l75JcvwWVflu2ccQWbMcmCBAgcBsBDaTbcBggQIAAAQIE1hB4xRrTTCJAgMCuENBA2hUvo0oQIHAHCNw923xGcnxyeXJu8mfJbOn3lc5IHj5M+FC6v5N8aRhup9/deVryR8nnkqckj0r+JPlfSb/P00/Svyl5XPL55NeTfg9ktvTf9acmJyR3Tj6YvCP5u2SZMu7bhVn4muRbk4ckf5i0zvOu9+TM2316cLIvuTR5e3Jt0nLX5NuS1vX3ktlS5y5fj08PE+ep630yb/f5vUlfs27jA8n/TP42WbQcqB73ygqfnlyRnJfMlsdmxEOTviZ1aOlre0ryhOQvk74/Dk5OTd6dXJksW1rnZyT1uzxZ7X06j2UWv3U/j0m377/xtUvvwnVYa7+OzPpOT9q9U/LdyceT8xOFAAECBAgQIEBgGwk8IvtyS/L7yUeG/uuG7o3pPjOZlkdm4GNJl/lC0gZG+zuuX3Qfy7jel2fEXySd54ah24bEA5Jzh+E+2tTpvbjv+qfl2AxclHR6t/W5ob8Nt25jmTLu2y9m4V6otx6t+83J1clxyVhW+g7SPTPxN5LuU5dpA6j9zZ8n90/G8tH0tMHVZWbLeRnxN8ndhgnz1vXRmb/b+qmk+ztu++T0L1LmrUd/oOKTSRtxK/0QUl/7zya98G+p3+eT7ldt+vruS34p6bhvThYt42s27/t0Xsvux1uS7td9OzCUeesw7349JOvte2V8rdr/5mFbOgQIECBAgAABAttIYLzA64XbW5NeWB6RfGfSX/TqBXw/+W/p9zR6wf/F5FnJIUmnnZG0kdHGxpFJy7jeXgi+MWmj4SuSNyTdVhtDvavy9cnhyQuTju+n+GPput+XdD++Kxn348np/+ukjZEuu2gZ963b+9VkXMdj0t8L/dZxrMdJ6e98ZyVjeUl6Ou7nkqOTln+SjBfaP3XrmP1/fjSdzvvcybj2HpPU5pykZZG6jg2kNjh/Mzkt+eFk0fKSLDBvPX56mLd3AqflsRnoOl41jKxb/dqQfeIwru+b1ySdr/mWZNEyfc3emoXXep8uYtn9GF+3sYG0SB0W2a9uq43Jv2qPQoAAAQIECBAgsD0Fxgu8v8zutWE0Le/JQC9oHzSMfMEw/OPD8LTzQ8O0Fw8jx/X2YrCPxY2ljZCusw2vXoiOpRe1vdPwoXFEus9KOu87JuPG3pcN075vHLFAd9y33hWZrfPzh/V+77C+k4bhaQOpDaN3Jncd5hk7Y8OljZaxtGHYO3HnjiOG7ovSbd1OGYYXqeu4nU9k2antsKq5O4vU4x9nrd3fNiinpXfhOn583PIHhuHvn86U/kOSDw/T1tNAmud9uohld3O2gbRIHcb30jz71W1pIFVBIUBgywX6j7BCgAABAosJtGFy7cwi5w3Dxw7d44fum4butNO7RC1tAE3Ln2bgusmIS4b+3v3pXaex9CL7M8k9xhHptnHS8gdJL0Sn6SN2LbPb2z92vr9vzWyzdf7tYdFHrrGKH8y0b0q+NMxzdLqPS546DE8bTm2EtTHVhtADh+ntPCf5eHJ+B1KWqWtfs6ntrSta4M8i9ejrdUFyenK3YRu98/YvkouT8XVt463lbfs7X/7bu2W/9eWh5XvmeZ8uYzndo2XqMM9+TbehnwABAlsqcNiWbs3GCBAgsDsE+gn4bBkvvg8dJox3EVZ6RKiPpvW7Ng+eWckVM8N9XK7l6v2d2/wdp40jHzL0vGocsUJ3dnsrzLLqqNl964xXJtM7Iist3A/inp18T9I7J/dJWvq9m5beDZuWczLQuybfmZyV9AK+dXtp0m21LFPXNrDWUxatx+uysdcmT09+LemjffdOfiIZSxvRffSvjd3ZstL7ZnaeAw3P8z5dxnK63WXqMM9+TbehnwABAlsqoIG0pdw2RoDALhHoJ/wHKv3eUC/+75L0Inhaejehj6vN3pG5fjrTgv3jus7McitdcHd107tQC67+y989mi7XO1it46enI2f6X53hH0guS34jeV/SOwi9W/SpZLb0rtS+pPU4K2njqg2j1ydjWaau67Htdhetx69nmZ9P+n2wNpBajzai35yM5YvpuVNSx78ZRw7de84MLzM4z/t0GcvpvixTh3n2a7oN/QQIENhSAQ2kLeW2MQIE9pDAx1LXJyUPSy6cqfdxGW7D4oqZ8esZvHRYuI2g/z2zontl+DHJWg2ZmUVuNzjeaZhOaD1aLt7fud3f+2VMG0d9xK/b712zsZw89Bw6jhi6bUS0QdHvNz00eUZyfjK9A7TZdc3mblOWqUcbPP1+1Xck/zDpI4Vj4y+9t5aP5u+pSe/CvCeZlhOmA5vYv17L7VCHTeSxagIE9qLAIXux0upMgACBLRD4H8M2/mO6bQxNy48NA2+bjlxnfy++e6el655tdLw6496VPDZZtnx7Frz/zMIvzHC3+Ycz48fBrx56PpPutHFUjzacWnoHZbacM4x4ebrd5utnZtjsus5s7qD11KP1+6XkzslYr3H9r0lP/V6adPpYHpWeZ40Dm9xdr+Vm1uGG1H38DtcmM1g9AQIECBAgQIDAMgL94YNe0J69wsI/PkzrXaOx9IcNOv/vJKcnT0/Gcb+c/jYUWlZbb+/yd/l3d6aZcnmG+9jatLwuA52/dyP6gwDdZhsXHff2ZJky7lvX0e09J+n3afoIWcf1F+bGclJ6Ou6sYcRd0/3sMK6NnTbQul9tGPYRxDaaPpSsVDq+6/picvcVZpi3ro8e1vOqFdYx76hl69HX9/8N278y3dmGa7ff/Wo9L0n+U/La5EvJVUnHPyVZtIyv2bzv03ktux9vSbpf4898d9y8dVh0v87Lurutc5J/mSgECBAgQIAAAQLbTGDRC7zePXhZ0ov8Xug1f5H0QnhsHKV3wxpIfSrgR5Krk3F7N6e/j3p9ZbJMGevci9T/ntyUdN2XJ63btMw2kDrtccnHknF/bkz/O5Jjhm7XN3tnKqMO+sGky7SBt1KZt64b0UDq9petx9hwfsVKlRjGfV+6702uST6Q/OukDcrW/+Rk0TK+ZvM2kOa17H6s1EDq+HnqsOh+nZL19u5jHT6cKAQIECBAgAABArtEoI2hf5Q8cAvr86Bs6/jkyHVuc/aituvrd4MWKb0APybpuo5I5in9DlIvjE+dY+aNquuBNrVMPdZaZ++MrXRXqcv8QtL6j9/z6ritKItabkUdviIVn/d9sxVGtkGAAAECBAgQILCHBWYbSFtB0UcLe8fg0qSNy91anpeKXZ88d6aCvdu3L/lc0kbZdi67oQ7b2de+ESBwBwj0JKQQIECAwN4R6KNi95yzuv2eUC/Ut6o8IRs6Lek+fk3ynKR3UTa69Ffp/ukCK+1jb59cYP55Z313Zrw26Xe2eqeoj9m13v2e1pHJmcnNyaKv2XlZZqvKvHXYqv2xHQIECBAgQIAAAQILCVyYua+bM5dkvv7nrp3/Z5PNLqdnA20Q9a7Kf97EjT01657XoPP1F/w2q3xDVvzHSevddHsXJdNtLvqaZfEtLfPUYUt3yMYIECBAgAABAgQI7AaBPk53bNL/OHWvlXunwr17tJO/a7Mb6rDX3nfqS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK7RuD/AxvJ52FnHB3FAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title \"height\""
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFRCMwbxUEadoydcj47Jlsny5I7kuWJRoAAAQIECBAgQIAAgU4IHJBenpvcnKybJldn2znJrolGgAABAgQIECBAgACB1gqcnJ71iqIfZ/3y5JPJB5N/Sa5Ibkxqn58mL0k0AgQIECBAgAABAgQItE7gqPSoCp8qhJ64kd7VrYaHJF9Pav+nJRoBAgQIECBAgAABAgRaJXB+elO3z9XvjYZp9fuku5J3DbOzfQgQIECAAAECBAgQaJfAwnZ15xd6s1+2fCVZ+QvvTL/h9my+Ktlj+rdtJUCAQGME9s2Z7DNHZ3N9jvutOTq2wxIgQIAAgS0q0PYCqX5bdGCyKFk1hGRdQaqiqiZs0AgQINBYgUWLFn147dq1j5s/f/7aUZ5kjjk/x/vpmjVrHjTK4zoWAQIECBAYlUDbC6TzAvmPyYXJaUlNyDBdq98gPSN5S7JtclGiESBAoLECKYwWvfKVr5z/4he/uAqWkbVLLrlk4g1veMNWIzugAxEgQIAAgRELtL1AuiCeuyWnJouTui1kaXJrUr812iHZOdkr2T1ZnZyYXJZoBAgQIECAAAECBAh0TKDtBVLNSHdmcnFSV5BqprqDkv62Ii9uSM5IzkquSzQCBAgQIECAAAECBDoo0PYCqTekP8rK0ZMv6qrRjsk2ST049s5EI0CAAAECBAgQIECAwMRI711viPeCnEel+r59sl2iESBAgAABAgQIECBAoDMF0gEZ63OTumJ0W3JN8v2kfo+0LKlnJdXMdbsmGgECBAgQIECAAAECHRXowi12J2dsT5kc32uzrOciVZFUhVHdaleTNOyZHJscmZyQ1OQOGgECBAgQIECAAAECHRNoe4F0VMaziqNPJyclVybTtZrm++CkJmo4P1mSXJ5oBAgQIECAAAECBAh0SKDtv0E6ImNZEzTUckPFUQ13zXZ3aXJYcndyTKIRIECAAAECBAgQINAxgbYXSPtlPOuWupVDjuvt2e+qZI8h97cbAQIECBAgQIAAAQItEmh7gXRjxurAZNGQY7ZT9quiqiZw0AgQIECAAAECBAgQ6JhA2wuk8zKe+yYXJlMfENs/1L3fINVvlbZNLup/0zoBAgQIECBAgAABAt0QaPskDTUb3W7Jqcni5PpkaXJrcleyQ1Kz2O2V7J6sTk5MLks0AgQIECBAgAABAgQ6JtD2AqkmXzgzuTg5LTkkmXolaUW23ZDUDHZnJdclm9vK9QXJsLf21ZW8KtBOTzQCBAgQIECAAAECBOZIoO0FUo+1ZrI7evJFXTWq5x9tk9SDY+9MZrs9NF/418lWQ35xFVL1kNq/SVYN+Rm7ESBAgAABAgQIECAwywJdKZD62RbkRaWu2myf1G11y5PZbEvyZXvP4Aufmn0vT+q3UBoBAgQIECBAgAABAnMk0PZJGnqsB2Tl3KSuGN2WXJPUTHVLk2XJ1ck5SV3F0QgQIECAAAECBAgQ6KhAF64gnZyxPWVyfK/Nsp6LVEVSFUZ1q11N0rBncmxyZHJCckGiESBAgAABAgQIECDQMYG2F0hHZTyrOKrpu09Krkyma3Vr28FJTdRwfrIkqVveNAIECBAgQIAAAQIEOiTQ9lvsjshY1gQNtdxQcVTDXbPdXZocltydHJNoBAgQIECAAAECBAh0TKDtBdJ+Gc+6pW7lkON6e/a7KtljyP3tRoAAAQIECBAgQIBAiwTaXiDdmLE6MBn2eUQ7Zd8qqmoCB40AAQIECBAgQIAAgY4JtL1AOi/juW9yYTL1AbH9Q937DVL9Vmnb5KL+N60TIECAAAECBAgQINANgbZP0lCz0e2WnJosTq5Plia3JnclOyQ1i91eye5JPRPpxOSyRCNAgAABAgQIECBAoGMCbS+QavKFM5OLk9OSQ5KpV5JWZNsNSc1gd1ZyXaIRIECAAAECBAgQINBBgbYXSL0hrZnsjp58UVeN6vlH2yT14Ng7E40AAQIECBAgQIAAAQITXSmQ+oe6bq2r9NquWdkl+e9kbW+jJQECBAgQIECAAAEC3RNo+yQNw4zon2an7yUPGGZn+xAgQIAAAQIECBAg0F6Btl9Bqim7txswfL1nHj05+/WuLNXvkJYO+Jy3CRAgQIAAAQIECBBomUDbC6T3ZbyeMOSY1RTfvfbGrJzSe2FJgAABAgQIECBAgEA3BNpeIL0rw1iz2NWEDB9P6la6qe1Z2fCU5G3JPZNvmuZ7EsKCAAECBAgQIECAQJcEulAg/VsGtJ6H9OvJJcnfJjX9d6+9OStVINUVo9t6Gy0JECBAgAABAgQIEOieQBcmafjPDGsVQO9I6jlHn0l6vzvKqkaAAAECBAgQIECAAIH7BLpQIFVPVyY1W92hyWOTbycvTjQCBAgQIECAAAECBAj8j0BXCqReh7+QlZrZ7nPJB5K69W6nRCNAgAABAgQIECBAgEAnHxR7e8b9Rcknk/o90g6JRoAAAQIECBAgQIAAgYmuXUHqH/L350VNAf6R5F+TVYlGgAABAgQIECBAgECHBdo+i92goV2SHY4atJP3CRAgQIAAAQIECBDohkCXryB1Y4T1kgABAgQIECBAgACBoQUUSENT2ZEAAQIECBAgQIAAgbYLKJDaPsL6R4AAAQIECBAgQIDA0AIKpKGp7EiAAAECBAgQIECAQNsFFEhtH2H9I0CAAAECBAgQIEBgaAEF0tBUdiRAgAABAgQIECBAoO0CCqS2j7D+ESBAgAABAgQIECAwtIACaWgqOxIgQIAAAQIECBAg0HYBBVLbR1j/CBAgQIAAAQIECBAYWkCBNDSVHQkQIECAAAECBAgQaLuAAqntI6x/BAgQIECAAAECBAgMLaBAGprKjgQIECBAgAABAgQItF1gYds7qH8ECBAgMHsCN91008S8efO233rrrb85e9863DetXbt2zapVq47P3lcM9wl7ESBAgACBmQsokGZu5hMECBDorMAtt9xSBdKCl73sZfuPGuG9731v6qNVv5zjKpBGje94BAgQ6JCAAqlDg62rBAgQmA2BrbbaauL3f//3Z+OrZvQdH/nIR1avWLFiRp+xMwECBAgQmKmAAmmmYvYnQIDA/xF4+MKFC9+RKyqL/s+mka09dGRHciACBAgQINAhAQVShwZbVwkQmHWBx+V3Mb/xkpe8ZOQT3uRqyrpZ740vJECAAAECBCYUSP4SECBAYDMEFixYsPZVr3rVyAukj33sY1UgzduMU/dRAgQIECBAYBqBkf9DfZpzsIkAAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFAgNWEUnAMBAgQIECBAgAABAo0QUCA1YhicBAECBAgQIECAAAECTRBQIDVhFJwDAQIECBAgQIAAAQKNEFAgNWIYnAQBAgQIECBAgAABAk0QUCA1YRScAwECBAgQIECAAAECjRBQIDViGJwEAQIECBAgQIAAAQJNEFjYhJMY8TnslOPtmGydLEvuSJYnGgECBAgQIECAAAECHRfoyhWkAzLO5yY3J7cl1yTfT5YmVSRdnZyT7JpoBAgQIECAAAECBAh0VKALV5BOztieMjm+12b5laSKpCqM6krSzsmeybHJkckJyQWJRoAAAQIECBAgQIBAxwTaXiAdlfGs4ujTyUnJlcl0bV42HpyckZyfLEkuTzQCBAgQIECAAAECBDok0PZb7I7IWP4oqeWGiqMa7nXJpclhyd3JMYlGgAABAgQIECBAgEDHBNpeIO2X8axb6lYOOa63Z7+rkj2G3N9uBAgQIECAAAECBAi0SKDtBdKNGasDk0VDjlnNcFdFVU3goBEgQIAAAQIECBAg0DGBthdI52U8900uTA7ayNj2foNUv1XaNrloI/t6iwABAgQIECBAgACBlgq0fZKGmo1ut+TUZHFyfbI0uTW5K9khqVns9kp2T1YnJyaXJRoBAgQIECBAgAABAh0TaHuBVJMvnJlcnJyWHJJMvZK0IttuSGoGu7OS6xKNAAECBAgQIECAAIEOCrS9QOoNac1kd/Tki7pqVM8/2iapB8femWgECBAgQIAAAQIECBCYaPtvkKYb4gXZWKm+b59sl2gECBAgQIAAAQIECBDoTIF0QMb63KSuGN2WXJPUTHX1e6RlydXJOcmuiUaAAAECBAgQIECAQEcFunCL3ckZ21Mmx/faLOu5SFUkVWFUt9rVJA17JscmRyYnJDW5g0aAAAECBAgQIECAQMcE2l4gHZXxrOKopu8+Kbkyma71pvmuiRrOT5YklycaAQIECBAgQIAAAQIdEmj7b5COyFjWBA213FBxVMNds91dmhyW3J0ck2gECBAgQIAAAQIECHRMoO0F0n4Zz7qlbuWQ43p79rsq2WPI/e1GgAABAgQIECBAgECLBNpeIN2YsTowWTTkmO2U/aqoqgkcNAIECBAgQIAAAQIEOibQ9gLpvIznvsmFydQHxPYPde83SPVbpW2Ti/rftE6AAAECBAgQIECAQDcE2j5JQ81Gt1tyarI4uT5Zmtya3JXskNQsdnsluyerkxOTyxKNAAECBAgQIECAAIGOCbS9QKrJF85MLk5OSw5Jpl5JWpFtNyQ1g91ZyXWJRoAAAQIECBAgQIBABwXaXiD1hrRmsjt68kVdNarnH22T1INj70xmu9XVqPclWw35xfcfcj+7ESBAgAABAgQIECCwBQW6UiD1Ey7Ii0r9/mr7pG6rW57MZqvb9z6fDFsgPTT7HjCbJ+C7CBAgQIAAAQIECBCYuUBXCqQqPo5Pnp/sOg1TXWG6JHl9css07890UxVcfzWDDz01+758BvvblQABAgQIECBAgACBLSDQhQLp5LidMml3bZb1XKTbkmVJ3WpXkzTsmRybHJmckFyQaAQIECBAgAABAgQIdEyg7QXSURnPKo5q+u6TkiuT6Vpvmu+aqOH8ZElyeaIRIECAAAECBAgQINAhgbY/B+mIjGXdPlfLDRVHNdw1292lyWHJ3ckxiUaAAAECBAgQIECAQMcE2l4g7ZfxrFvqVg45rrdnv6uSPYbc324ECBAgQIAAAQIECLRIoO0F0o0ZqwOTRUOO2U7Zr4qq7w+5v90IECBAgAABAgQIEGiRQNsLpPMyVvsmFyZTHxDbP4y93yDVb5W2TS7qf9M6AQIECBAgQIAAAQLdEGj7JA01G91uyanJ4uT6ZGlya1LPKtohqVns9krq4a71TKQTk8sSjQABAgQIECBAgACBjgm0vUCqyRfOTC5OTksOSaZeSVqRbTckNYPdWcl1iUaAAAECBAgQIECAQAcF2l4g9Ya0ZrI7evJFXTWq5x9tk9yc3JloBAgQIECAAAECBAgQmOhKgdQ/1HVrXUUjQIAAAQIECBAgQIDAegJdLJDWA8iLrZP6DdLVyZpEI0CAAIEGCtx9991bLVy48G05tbfMwel9dfXq1c+dg+M6JAECBAiMWKArBdLecf2N5CfJ55JlSU3K8Paktm+f1G+R/iZ5Y7Iq0QgQIECgQQLr1q2bv3jx4m2f9KQn1WyjI2vf+MY3Jj71qU89PgXSyI7pQAQIECAwdwJdKJBeE9639hEvyfpTkiqGjkzuSP4l2T/5i+SRyYsSjQABAgQaJvDYxz524tBDDx3pWS1fvrwKpJEe08EIECBAYO4E2v4cpOeEtman+8/k1UlN4V2TNHw5+e3ktclDkucl+yTvT2p7XVXSCBAgQIAAAQIECBDomEDbryC9IOO5PKmpvWtZrWa0+1iyNKniqfe7o59l/Y+Tuse88plEI0CAAAECBAgQIECgQwJtv4JUhdGnk15xVEP72aSKoU8mveIoq/e2e/Ln95NH3ffSnwQIECBAgAABAgQIdEmg7QXS7RnMKpL6+7kir1+ffC+Z2h6QDU9O6sGxGgECBAgQIECAAAECHRPoLxza2PW6Te5hSU3S8OC+DtatdTVVbH9blBdvSrZOvtD/hnUCBAgQIECAAAECBLoh0PYCqWaquzKpCRqWJDsl07Waza5+k/QnyReTDyYaAQIECBAgQIAAAQIdE2h7gVS/NXpGclpyVVK33E3XtsvGrZK6qlQz2q1LNAIECBAgQIAAAQIEOibQ9gKphrMmXqjfHD2lXmygfTjbH5jUlaYqqjQCBAgQIECAAAECBDoo0PZpvocd0iqiNAIECBAgQIAAAQIEOi7QhStIHR9i3SdAgAABAgQIECBAYFgBBdKwUvYjQIAAAQIECBAgQKD1Agqk1g+xDhIgQIAAAQIECBAgMKyAAmlYKfsRIECAAAECBAgQINB6AQVS64dYBwkQIECAAAECBAgQGFZAgTSslP0IECBAgAABAgQIEGi9gGm+Wz/EOkigEwKL0svt56Cnc3HMOeimQxIgQIAAge4IKJC6M9Z6SqC1AgsXLvzk6tWrD5ujDq6bo+M6LAECBAgQILAFBBRIWwDVVxIgMFqBFEi7vOAFL5j4zd/8zZEe+KMf/ejEJz7xiZEe08EIECBAgACBLSugQNqyvr6dAIERCeyyyy4Tj3rUo0Z0tPsOs/POO4/0eA5GgAABAgQIbHkBkzRseWNHIECAAAECBAgQIEBgTAQUSGMyUE6TAAECBAgQIECAAIEtL6BA2vLGjkCAAAECBAgQIECAwJgIKJDGZKCcJgECBAgQIECAAAECW15AgbTljR2BAAECBAgQIECAAIExEdjUAmlx+vf25Mlj0k+nSYAAAQIECBAgQIAAgYECmzLN97x861uSRycPT6pY0ggQIECAAAECBAgQIDD2AptyBameVl/F0X8nz0sekWgECBAgQIAAAQIECBAYe4FNKZBemV7fkRwx2fvjx15BBwgQIECAAAECBAgQIBCBmRZIe+czddXovOR7yT8nf5Bsl2gECBAgQIAAAQIECBAYa4GZFkjHpbf1mXdN9vodWT4g+b3J1xYECBAgQIAAAQIECBAYW4GZFEj3Sy//MPli8v3JHn8my6uTV02+tiBAgAABAgQIECBAgMDYCsykQHpJerlz8s6+3q7Lel1Nelzy7L7tVgkQIECAAAECBAgQIDB2AjMpkGpyhhuTi6b08t15/bPkhCnbvSRAgAABAgQIECBAgMBYCQxbIB2QXu2enJ2smtLD2/K6iqQnJbWPRoAAAQIECBAgQIAAgbEUGPZBsd9M7x68kR7WVN+m+94IkLcIECBAgAABAgQIEGi+wLAFUn9PdsqLHZOtk2VJPRNpeaIRIECAAAECBAgQIEBgrAVmcovduenpzUndUndNUjPZLU2qSKqZ7M5Jdk00AgQIECBAgAABAgQIjKXAMFeQTk7PTpns3bVZfiWpIqkKo7qSVDPb7ZkcmxyZ1GQNFyQaAQIECBAgQIAAAQIExkpgUIF0VHpTxdGnk5OSK5Pp2rxsPDg5Izk/WZJcnmgECBAgQIAAAQIECBAYG4FBt9gdkZ78KKnlhoqj6mw9D+nS5LDk7uSYRCNAgAABAgQIECBAgMBYCQwqkPZLb+qWupVD9ur27HdVsseQ+9uNAAECBAgQIECAAAECjREYVCDdmDM9MFk05BnXDHdVVNUEDhoBAgQIECBAgAABAgTGSmBQgXReerNvcmFy0EZ61vsNUv1Wadvkoo3s6y0CBAgQIECAAAECBAg0UmDQJA01G91uyanJ4uT6ZGlya3JXskNSs9jtleyerE5OTC5LNAIECBAgQIAAAQIECIyVwKACqSZfODO5ODktOSSZeiVpRbbdkNQMdmcl1yUaAQIECBAgQIAAAQIExk5gUIHU61DNZHf05Iu6alTPP9omqQfH3ploBAgQIECAAAECBAgQGHuBQQXSPunh/ZNv9fW0bq2raAQIECBAgAABAgQIEGiVwKBJGt6Q3v5Hck6yVat6rjMECBAgQIAAAQIECBCYIjCoQOrtfmxW6nlINeW3RoAAAQIECBAgQIAAgVYKzKRA2jMCVyRnJ49opYZOESBAgAABAgQIECDQaYFhC6QPRemXk08kxyU/SD6VHJ4M+x3ZVSNAgAABAgQIECBAgEBzBWZS3Pwk3XhB8jvJ95PnJp9Mqlj6i+TQpJ6FpBEgQIAAAQIECBAgQGAsBWZSIPU6WA+PfVxycPK+pIqiekbS55J6HlI9RLZ+s6QRIECAAAECBAgQIEBgrAQGTfO9sc58OW9WTkh+K3lC8tikiidXkoKgESBAgAABAgQIECAwXgKbUyD1eloPin1P78XkclOuTE35Ci8JECBAgAABAgQIECAwWoEtVcisHW03HI0AAQIECBAgQIAAAQKbLzCoQPrjHGKHpK4SaQQIECBAgAABAgQIEGi1wKBb7H6W3lc0AgQIECBAgAABAgQItF5gUIE0CGCv7PCY5Obkv5J7Eo0AAQIECBAgQIAAAQJjKTDMLXY1rff9pvTu8Xn99WRJ8pnkm8mNyWuTBYlGgAABAgQIECBAgACBsRMYVCAdlB4dnWzV17OHZf3fkicl30jOST6QLEv+Kjk90QgQIECAAAECBAgQIDB2Aptyi10VQTsmr0r+tq/H22b975PXJJ9KLkk0AgQIECBAgAABAgQIjI3AoCtI03Xkadn4taS/OKr9ViR/lNya/FqiESBAgAABAgQIECBAYKwENqVAqmm/v72BXtYkDd9PfnkD79tMgAABAgQIECBAgACBxgpsSoH07+lNTdIwXdslG5+c1IQNGgECBAgQIECAAAECBMZKYNgCqW6pOz/5X8nlSU3Q8Pykv+2ZF3XbXU3o8KX+N6wTIECAAAECBAgQIEBgHAQGTdJQky08INk/eclksri3VTH08cn1w7O8KKnvqwKqZrXTCBAgQIAAAQIECBAgMFYCgwqkj6Q3lWo1c10VSr3Mq42TrZ59VL8/qsKoZrFbl2gECBAgQIAAAQIECBAYK4FBBVJ/Z+7Mi7p1brrb5z6X7fX7o1WJRoAAAQIECBAgQIAAgbEUGPY3SBvqXF05emSydaI42pCS7QQIECBAgAABAgQIjIXAMAXSbunJu5L39PWobrd7Z7I8+UFSzz66Kjkx0QgQIECAAAECBAgQIDCWAoNusXtgenVlskdy6WQPF2X5heSJydrkX5OfJk9J3pLUFaXjk3pPI0CAAAECBAgQIECAwNgIDLqC9BfpSRVHr0sOm+zVK7Os4ujvk3rvWclRyaOStyWvSJ6daAQIECBAgAABAgQIEBgrgUEF0lPTm2uSv05WTvbs4CzvSOoq0U2T22rx86RmsLsuOTTRCBAgQIAAAQIECBAgMFYCgwqkugXvm0n/7XJr8vraZFUytdV+NyR1NUkjQIAAAQIECBAgQIDAWAkMKpD+Pb359aSm8O61S7Py6GTX3oa+5YOz/qTkW33brBIgQIAAAQIECBAgQGAsBAYVSOemFzWF938kdWtdtX9IqnD6UPKQpNfqAbJVPK1OPtrbaEmAAAECBAgQIECAAIFxERg0i9030pGadOEdST0g9ttJFUffS16WLEl+mNQVppoOfF3yx0ntpxEgQIAAAQIECBAgQGCsBAZdQarO1POPHp68OdkpOSb5o2ReUlN+PzbZLvlgsl9Ss9tpBAgQIECAAAECBAgQGDuBQVeQeh36SVZqqu/KgqR+a1RTfK9IliY1q51GgAABAgQIECBAgACBsRYY5grS1A7WLHYPTX4nqam/FUdB0AgQIECAAAECBAgQGH+BTSmQqtePS05IHlYvNAIECBAgQIAAAQIECLRBYFMLpDb0XR8IECBAgAABAgQIECCwnoACaT0OLwgQIECAAAECBAgQ6LLAsJM0PCFIr++Devjk+huy/JO+7X+a9R/3vbZKgAABAgQIECBAgACBsREYtkB6UHr0W329qim+q9XDY+vZR712alYUSD0NSwIECBAgQIAAAQIExkpg2FvsPpte1fTevdRDYqsdmvS21fJbtVEjQIAAAQIECBAgQIDAOAoMWyCNY9+cMwECBAgQIECAAAECBGYkoECaEZedCRAgQIAAAQIECBBos8CmFkjLg3JdUg+K1QgQIECAAAECBAgQINAKgWEnaZja2Q9lQ0UjQIAAAQIECBAgQIBAawQ29QpSawB0hAABAgQIECBAgAABAj0BBVJPwpIAAQIECBAgQIAAgc4LDLrF7sII7bsRpTV5767kxuTLyTnJzxKNAAECBAgQIECAAAECYycwqEB6RHr0uCF79cLsd3Ty/OTmIT9jNwIECBAgQIAAAQIECDRGYFCBdHDOdGO34dXnH5Q8LHlZUkXSV5NHJ6sTjQABAgQIECBAgAABAmMjMKhAunuIntyafb6bfCY5Ozku2T/5RqIRIECAAAECBAgQIEBgbAQ2dnVoUzrx9skP1ZUnjQABAgQIECBAgAABAmMlMNsF0jXp/brkaWOl4GQJECBAgAABAgQIECAQgdkukHbOd85LbqFLgAABAgQIECBAgACBcROY7QKpd+Xoa+MG4XwJECBAgAABAgQIECAwmwXSY8J5+iSpAsnfLQIECBAgQIAAAQIExk5g0Cx2f5Ae7baRXlWBtX2yT/LcZMfkzOR7iUaAAAECBAgQIECAAIGxEhhUIL06vXnCkD1alf3+PHnzkPvP1W475cBVyG2dLEvuSJYnGgECBAgQIECAAAECHRcYVCBVsfPAjRityXt3Jjcl9YDYphYaB+Tcjk+en+yaTG0/yoZLktcnJpiYquM1AQIECBAgQIAAgY4IDCqQPtACh5PTh1Mm+3Ftll9Jbkvq6lFdSaqZ9/ZMjk2OTE5ILkg0AgQIECBAgAABAgQ6JjCoQOpxPDYrxyUXJ3WlZWp7YTb8anJaUleTmtKOyolUcfTp5KTkymS6VlOT18Ntz0jOT5YklycaAQIECBAgQIAAAQIdEhh2Fru6Be3FSRVAU9uCbDgzeVbSpOKozvOIpM69lhsqjvLWvQ+3vTTLw5K7k2MSjQABAgQIECBAgACBjgkMWyCtjMvfJ09JnjjFaHFePzR5+5TtTXi5X06ibqmr8x+m3Z6drkr2GGZn+xAgQIAAAQIECBAg0C6BYQuk6vW7kpqU4U/qRV+rW+9qJrh/7NvWlNUbcyIHJouGPKGa4a6Kqu8Pub/dCBAgQIAAAQIECBBokcBMCqRr0++PJ0cnNblBtUcnhybvTpo4g915Oa99kwuTg5INtd5vkOq3StsmF21oR9sJECBAgAABAgQIEGivwLCTNPQE/jYrL0jqNzp1S90rknXJ2UkTW81GVw+6PTWpWwGvT5YmtyZ3JTskOyd7Jbsnq5MTk8sSjQABAgQIECBAgACBjgnMtED6Qny+m1Rh9A/JS5N/Tn6UNLFV8VYTSNTsezXBxCHJ1CtJK7LthuSM5KzkukQjQIAAAQIECBAgQKCDAjMtkIqorhZV3pnUb3beljS9VQFXtwZWq6tGdYvgNsnNyZ2JRoAAAQIECBAgQIAAgYmZ/Aapx/W+rNTtacck30umey5SNje21bTkler79sl2iUaAAAECBAgQIECAAIFNKpCWxa1mtPtJ8tYxMTwg53luUleMbkuuSWqmuvo9UvXn6uScZNdEI0CAAAECBAgQIECgowKbcotdUb12MuPAdnJO8pTJE62Z+Oq5SFUkVWFUt9rVJA17JscmRyYnJDW5g0aAAAECBAgQIECAQMcENrVAGhemo3KiVRzV9N0nJVcm07XeNN81UcP5yZLk8kQjQIAAAQIECBAgQKBDApvyG6TiqSmza5rvJ9eLBrcjcm41QUMtN1Qc1enXbHeXJocldyf1+yqNAAECBAgQIECAAIGOCWzKFaS62vKW5NHJw5Mqlpra9suJ1S11K4c8wduz31XJHkPubzcCBAgQIECAAAECBFoksClXkOoqSxVH/508L3lE0tR2Y07swGTRkCdY05ZXUVUTOGgECBAgQIAAAQIECHRMYFMKpFfG6I6kblurdvx9i0b+eV7Oat/kwmTqA2L7T7j3G6T6rdK2yUX9b1onQIAAAQIECBAgQKAbAjO9xW7vsNRVo/r9UT0D6Z+TP0j+d7I8aVq7ICe0W3JqUrcCXp8sTW5N6llOOyQ1i91eye7J6uTE5LJEI0CAAAECBAgQIECgYwIzLZCOi09ddXrXpNM7sqzC4/f6tk2+1YhFTb5wZnJxclpySDL1StKKbLshOSM5K7kumY22T75kqyG/qAo0jQABAgQIECBAgACBORaYSYF0v5zrHyZfTHq/0flM1ushq69KekVTVhvXaia7oyfPqq4a1fOPtkluTu5MZrs9Ml/4g9n+Ut9HgAABAgQIECBAgMCWFZhJgfSSnErdjvbOvlOqKzRVGJ2ePDv5fNL0tiAnWKkrYdsndVvdbN8e+MN85wOTYX1rIom6XVEjQIAAAQIECBAgQGAOBYb9F/g6xZqcoWaFmzqBwbuz7S+TE5KmFkgH5NxqMonnJ7smU1tdYbokeX1yy9Q3N/F1/c5p2FbTi2sECBAgQIAAAQIECMyxQF1FGaZVgVGTGJydrJrygdvyuoqkJyW1T9PayTmhK5OXJfck9VykulrzT8mnk68l2ybHJjXxRF0p0wgQIECAAAECBAgQ6KDAsFeQvhmbB2/Ep67OVJrWjsoJnZJUIXRSUoXSdK03zXdN1HB+siS5PNEIECBAgAABAgQIEOiQwLBXkMaVpJ7VVLfP1XJDxVH1rX5LdWlyWHJ3ckyiESBAgAABAgQIECDQMYG2F0j7ZTzrlrqVQ45r/RboqmSPIfe3GwECBAgQIECAAAECLRJoe4FUk0rUDHGLhhyznbJfFVXfH3J/uxEgQIAAAQIECBAg0CKBQb9Benn6usMm9Ld+v1NXbua6nZcT+MfkwqQeFHtFMl2r3yA9I3lLUhM2TJ2pL5s0AgQIECBAgAABAgTaLjCoQDouAPtvAsIb85kmFEgX5Dx2S05NFifXJ0uTmoL7rqSKv3q2015JzcC3OjkxuSzRCBAgQIDAxC233DKxevXqnRYsWPCRUXOsW7duzdq1a2uSoR+O+tiOR4AAga4KDCqQnhuYjyZPTS5OajrvYdp/DbPTCPapyRfOTOrc6wrSIclBSX9bkRc3JDWD3VnJdYlGgAABAgTuFbj++usnFi1adL/nPe95R46a5BOf+EQVSHUXhAJp1PiOR4BAZwUGFUg3ReZZyZeSKpZOSWrK73FrNZPd0ZMnXVeNdky2SW5O7kw0AgQIECCwQYH73//+E6997Ws3+P6WeuOzn/3s6lWrpj5+cEsdzfcSIECAQAkMM0nDyuxXD1mt9vb7FmP7Z/W3bq2rq0Q/SKYWRwuybaekiieNAAECBAgQIECAAIGOCQxTIBXJfyZ/kdTVl8cn49QelJP9p+S2pIqjLyZPT6Zr1bfab/T/mXC6s7GNAAECBAgQIECAAIGRCgxbINVJ1W909ku+XS/GpG2f8/x68ttJXR2qCRp+Nbk0qd8kaQQIECBAgAABAgQIEPgfgZkUSP/zoTFa+X9yrg9L6rdTD032TZ6cfCepK2JvTTQCBAgQIECAAAECBAjcKzBokoapTNtlw+5J/U6niqv6Dc8tya1JE9vTclI1EcOpSU3hXe3fk5rN7hPJa5J6mOzpiUaAAAECBAgQIECAQMcFhr2CdHCc6tlAdyQ1ucHXkq8m30t+mlyd1ENW75c0qe2Rk/m3pFcc9c6tCrv/K7kqeXNSt+BpBAgQIECAAAECBAh0XGCYAunlMfp88tjkiuQnSbWa3e7s5MJ6kXZiUldnnlAvGtJ+nPM4NJluVrqasOF5Sf0u6bxkQxM35C2NAAECBAgQIECAAIEuCAwqkOoWtb9L3pXU1ZhnJA9JnpnU85Bq/UXJI5NnJVWI1JWl+r1PE1oVdvXMozclda5T2/XZ8OvJ3cmnksMTjQABAgQIECBAgACBjgoMKpAWx6VuQ3t1cs+k0dosv5T8bvKCpAqjdcm/Jr+WbJW8ImlC+9ucxHeT+q1RPfvoxcnU9l/ZcFhS/arfKlWbd9/CnwQIECBAgAABAgQIdElgUIFUV1e+lVQBNLXV746WJ3ULW68tyUpdWfql3oY5Xv4sxz8oeVtybfLzZLr2H9n4pOTT071pGwECBAgQIECAAAEC3RBYOKCbNQHDU5Lab+pEB/tk23ZJf6tnDT0s+e/+jXO8vizHrytglY0VhFXwPTepacCrsNIIECBAgAABAgQIEOiYwMYKhqL4XPKY5JykvxjaJa/fnVS79L7Fvb/1OS3ruyWXT25r2qJuoxvUvp4dvj1oJ+8TIECAAAECBAgQINA+gUFXkM5Kl387+cPk+ck3kmq/kjwg+XDyqaRaPXy1JmeoW+z+LtEIECBAgAABAgQIECAwVgKDriDVbXU1CcPpSd0+95zJrMrydcnvJL1Wz0b6y+QZyYZ+69Pb15IAAQIECBAgQIAAAQKNExh0BalOeEXyZ5N5cJZrkluSqe3IqRu8JkCAAAECBAgQIECAwDgJDFMg9ffnpv4X1gkQIECAAAECBAgQINAmgUG32A3T13ru0ROS7YbZ2T4ECBAgQIAAAQIECBBoqsCwBdKL0oF66Oprk0dOdmb7LP8pqanA6zlCdyXvS3ZMNAIECBAgQIAAAQIECIydwKBb7KqA+lhSM9j12p9npa4Y/e+kZrj7QvLD5IDk95K9k0OS6R4um80aAQIECBAgQIAAAQIEmikw6ArSy3PaVRxdMrk8Psvbk88nL0uOSp6d/HHylKSKpprF7sWJRoAAAQIECBAgQIAAgbESGHQF6TfTm9uSxcnPJnu2NMuLk08lH5nc1lu8KSvHJlUkfaC30ZIAAQIECBAgQIAAAQLjIDDoCtJe6UTdQtcrjqpPdfVobfLdejGl1fZrkj2nbPeSAAECBAgQIECAAAECjRcYVCBdmx7ULXTb9PXkuVmvzz2ub1tvta5IPTFZ0ttgSYAAAQIECBAgQIAAgXERGFQg1a10OyV1O90Lktclf5PUrHVVKL0k6bX6rr9Pana7f000AgQIECBAgAABAgQIjJXAoN8g/V1685ykfov0rMme3TK57S+zPD95dVK/S/qV5CHJ55ILE40AAQIECBAgQIAAAQJjJTCoQKrfFB2R1NWjpyU/Sj6e/CT5s6QeEnt48pTknuTtST0rSSNAgAABAgQIECBAgMDYCQwqkHod+lhWKv3tjrx4aVK31tVkDtcmaxKNAAECBAgQIECAAAECYykwbIHU69x2Wdk9qd8lVWF0Z1K33NXMdRoBAgQIECBAgAABAgTGWmDYAung9PKvkrqVbrrP1K13dYWpHhRbt9ppBAgQIECAAAECBAgQGDuBugo0qL08O9Szjx6bXJHU74+qrUzOTnoTMpyY9X9PnpBoBAgQIECAAAECBAgQGDuBQQVSTcxQM9m9K9kjeUZSM9U9M/nm5PqLsnxkUrPc1fOSvpo8NNEIECBAgAABAgQIECAwVgKDCqTF6c1VyauT3q1zNbPdl5LfTWp2uyqM1iX/mvxaUjPbvSLRCBAgQIAAAQIECBAgMFYCgwqkX09vvpVUATS1XZ0Ny5ND+95YkvW6svRLfdusEiBAgAABAgQIECBAYCwEBhVIP00vNjQxwz55r2a1628L8uJhSe9qU/971gkQIECAAAECBAgQINBogUEF0udy9o9Jzkn6i6Fd8vrdSbVL71tM7JjlacluyeWT2ywIECBAgAABAgQIECAwNgLTTdndf/Jn5cVvJ3+YPD/5RlLtV5IHJB9OPpVU+05SkzPULXY1sYNGgAABAgSAV0L7AAA5+0lEQVQIECBAgACBsRIYdAVpdXpTkzCcntTtc8+ZzKosX5f8TtJrX8vKXybPSH7e22hJgAABAgQIECBAgACBcREYdAWp+rEi+bPJPDjLNcktydR25NQNXhMgQIAAAQIECBAgQGCcBAZdQZral5uyoYqjg5K6/e5RiUaAAAECBAgQIECAAIFWCAxzBWm6jj4uG09ILk5+MN0OthEg0DmBPRctWvSh+fPnbzPqnq9bt85/rBk1uuMRIECAAIGWCmxqgdRSDt0iQGAzBB6+atWqg4477riJefPmbcbXzPyj73nPe+oB1hoBAgQIECBAYLMFFEibTegLCBDoFzjmmGNGXiC9//3v7z8F6wQIECBAgACBTRYYtkB6Qo7w+r6jPHxy/Q1Z/knf9j/N+o/7XlslQIAAAQIECBAgQIDA2AgMWyA9KD36rb5e9e6fOTjb1vVtPzXrCqQ+EKsECBAgQIAAAQIECIyPwLCz2H02XarnIPXysskuHtq3rd771uR2CwIECBAgQIAAAQIECIydwLAF0th1zAkTIECAAAECBAgQIEBgpgIKpJmK2Z8AAQIECBAgQIAAgdYKbGqBtDwi1yUrWyujYwQIECBAgAABAgQIdE5g2EkapsJ8KBsqGgECBAgQIECAAAECBFojsKlXkFoDoCMECBAgQIAAAQIECBDoCSiQehKWBAgQIECAAAECBAh0XmDQLXYXRmjfjSityXt3JTcmX07OSX6WaAQIECBAgAABAgQIEBg7gUEF0iPSo8cN2asXZr+jk+cnNw/5GbsRIECAAAECBAgQIECgMQKDCqSDc6Ybuw2vPv+g5GFJPTy2iqSvJo9OVicaAQIECBAgQIAAAQIExkZgUIF09xA9uTX7fDf5THJ2clyyf/KNRCNAgAABAgQIECBAgMDYCGzs6tCmdOLtkx+qK08aAQIECBAgQIAAAQIExkpgtguka9L7dcnTxkrByRIgQIAAAQIECBAgQCACs10g7ZzvnJfcQpcAAQIECBAgQIAAAQLjJjDbBVLvytHXxg3C+RIgQIAAAQIECBAgQGA2C6THhPP0SVIFkr9bBAgQIECAAAECBAiMncCgWez+ID3abSO9qgJr+2Sf5LnJjsmZyfcSjQABAgQIECBAgAABAmMlMKhAenV684Qhe7Qq+/158uYh97cbAQIECBAgQIAAAQIEGiUwqECqYueBGznjNXnvzuSmpB4QuzzRCBAgQIAAAQIECBAgMJYCgwqkD4xlr5w0AQIECBAgQIAAAQIENkFg2EkaHpvvrofAHrqBY7xw8v0Hb+B9mwkQIECAAAECBAgQINB4gWELpB+lJy9OTpumRwuyrSZmeFZSt9ppBAgQIECAAAECBAgQGEuBYQuklend3ydPSZ44paeL8/qhSV1h0ggQIECAAAECBAgQIDC2AsMWSNXBdyU1KcOf1Iu+dlzW70j+sW+bVQIECBAgQIAAAQIECIydwEwKpGvTu48nRyc7Tvb00VnW75LenZjBbhLFggABAgQIECBAgACB8RSYSYFUPfzbZLvkmHqR9opkXXJ2vdAIECBAgAABAgQIECAwzgIzLZC+kM5+N6nCaNvkpck/JzWJg0aAAAECBAgQIECAAIGxFphpgVSdratFj0vemeyUvC3RCBAgQIAAAQIECBAgMPYCm1IgvS+9viup2+y+l1ySaAQIECBAgAABAgQIEBh7gU0pkJal1zWj3U+St469gA4QIECAAAECBAgQIEBgUmDhJkq8Np+raAQIECBAgAABAgQIEGiNwKZcQWpN53WEAAECBAgQIECAAAEC/QIKpH4N6wQIECBAgAABAgQIdFpAgdTp4dd5AgQIECBAgAABAgT6BRRI/RrWCRAgQIAAAQIECBDotIACqdPDr/MECBAgQIAAAQIECPQLKJD6NawTIECAAAECBAgQINBpAQVSp4df5wkQIECAAAECBAgQ6BdQIPVrWCdAgAABAgQIECBAoNMCCqROD7/OEyBAgAABAgQIECDQL6BA6tewToAAAQIECBAgQIBApwUUSJ0efp0nQIAAAQIECBAgQKBfQIHUr2GdAAECBAgQIECAAIFOCyiQOj38Ok+AAAECBAgQIECAQL+AAqlfwzoBAgQIECBAgAABAp0WUCB1evh1ngABAgQIECBAgACBfgEFUr+GdQIECBAgQIAAAQIEOi2gQOr08Os8AQIECBAgQIAAAQL9Agqkfg3rBAgQIECAAAECBAh0WkCB1Onh13kCBAgQIECAAAECBPoFFEj9GtYJECBAgAABAgQIEOi0gAKp08Ov8wQIECBAgAABAgQI9AsokPo1rBMgQIAAAQIECBAg0GkBBVKnh1/nCRAgQIAAAQIECBDoF1jY/8I6AQIECBAg0ByBNWvWzMvZPDn5+Ryc1dU55rfn4LgOSYAAgTkVUCDNKb+DEyBAgACBDQusWrVqUdprFixY8OoN7zX776xevXp+2vd+/vOfP372v903EiBAoNkCCqRmj4+zI0CAAIEOC8ybN2/ijW9844JDDz10wSgZPvjBD0684x3vWDTKYzoWAQIEmiLgN0hNGQnnQYAAAQIECBAgQIDAnAsokOZ8CJwAAQIECBAgQIAAAQJNEVAgNWUknAcBAgQIECBAgAABAnMuoECa8yFwAgQIECBAgAABAgQINEVAgdSUkXAeBAgQIECAAAECBAjMuUAXZ7HbKeo7Jlsny5I7kuWJRoAAAQIECBAgQIBAxwW6cgXpgIzzucnNyW3JNcn3k6VJFUn1MLxzkl0TjQABAgQIECBAgACBjgp04QrSyRnbUybH99osv5JUkVSFUV1J2jnZMzk2OTI5Ibkg0QgQIECAAAECBAgQ6JhA2wukozKeVRx9OjkpuTKZrs3LxoOTM5LzkyXJ5YlGgAABAgQIECBAgECHBNp+i90RGcsfJbXcUHFUw70uuTQ5LLk7OSbRCBAgQIAAAQIECBDomEDbC6T9Mp51S93KIcf19ux3VbLHkPvbjQABAgQIECBAgACBFgm0vUC6MWN1YLJoyDGrGe6qqKoJHDQCBAgQIECAAAECBDom0PYC6byM577JhclBGxnb3m+Q6rdK2yYXbWRfbxEgQIAAAQIECBAg0FKBtk/SULPR7ZacmixOrk+WJrcmdyU7JDWL3V7J7snq5MTkskQjQIAAAQIECBAgQKBjAm0vkGryhTOTi5PTkkOSqVeSVmTbDUnNYHdWcl2iESBAgAABAgQIECDQQYG2F0i9Ia2Z7I6efFFXjer5R9sk9eDYOxONAAECBAgQIECAAAECE10pkPqHum6tq2gECBAgQIAAAQIECBBYT6CLBVLNVFdXkLZOliV3JMsTjQABAgQIECBAgACBjgu0fRa73vAekJVzk7ql7rbkmqSm8l6aVJF0dXJOsmuiESBAgAABAgQIECDQUYEuXEE6OWN7yuT4XptlPTi2iqQqjOpKUs1it2dybHJkckJSs99pBAgQIECAAAECBAh0TKDtBdJRGc8qjur5RiclVybTtd5zkGomu/OTJcnliUaAAAECBAgQIECAQIcE2n6L3REZy5rBrpYbKo5quGs68EuTw5K7k2MSjQABAgQIECBAgACBjgm0vUDaL+NZt9StHHJcb89+VyV7DLm/3QgQIECAAAECBAgQaJFA2wukGzNWByaLhhyzmuGuiqqawEEjQIAAAQIECBAgQKBjAm0vkM7LeO6bXJgctJGx7f0GqX6rtG1y0Ub29RYBAgQIECBAgAABAi0VaPskDTUb3W7Jqcni5PpkaXJrUg+L3SGpWez2SnZPVicnJpclGgECBAgQIECAAAECHRNoe4FUky+cmVycnJYckky9krQi225Iaga7s5Lrks1tVXjVrHnD3tpXxZlGgAABAgQIECBAgMAcC7S9QOrx1kx2R0++qOKlnn+0TVIPjr0zme1W371PstWQX1y/fdIIECBAgAABAgQIEJhjga4USP3MC/KiUr+/2j6p2+qWJ7PZqvCqZzAN256aHS8fdmf7ESBAgAABAgQIECCwZQTaPklDT+2ArJybVOFyW3JNUjPV1e+RliVXJ+ckuyYaAQIECBAgQIAAAQIdFejCFaSTM7anTI7vtVnWc5GqSKrCqG61q0ka9kyOTY5MTkguSDQCBAgQIECAAAECBDom0PYCqW5zq+Kopu+uSROuTKZrvWm+a6KG85MliVvegqARIECAAAECBAgQ6JJA22+xOyKDWRM01HJDxVGNd812d2lyWHJ3ckyiESBAgAABAgQIECDQMYG2F0j7ZTzrlrqVQ47r7dnvqmSPIfe3GwECBAgQIECAAAECLRJoe4F0Y8bqwGTY5xHVdNtVVNUEDhoBAgQIECBAgAABAh0TaHuBdF7Gc9/kwmTqA2L7h7r3G6T6rdK2yUX9b1onQIAAAQIECBAgQKAbAm2fpKFmo9stOTVZnFyfLE1uTe5KdkhqFru9kt2TeibSiclliUaAAAECBAgQIECAQMcE2l4g1eQLZyYXJ6clhyRTryStyLYbkprB7qzkukQjQIAAAQIECBAgQKCDAm0vkHpDWjPZHT35oq4a1fOPtknqwbF3JhoBAgQIECBAgAABAgQmulIg9Q913VpX0QgQIECAAAECBAgQILCeQNsnaVivs14QIECAAAECBAgQIEBgYwIKpI3peI8AAQIECBAgQIAAgU4JtP0Wu5dnNOs3RzNtl+cD9YBZjQABAgQIECBAgACBDgm0vUA6LmO5/yaM5xvzGQXSJsD5CAECBAgQIECAAIFxFmh7gfTcDM5Hk6cmNdX3u5Nh2n8Ns5N9CBAgQIAAAQIECBBol0DbC6SbMlzPSr6UVLF0SvLNRCNAgAABAgQIECBAgMAvCHRhkoaV6fXLJnv+9l8QsIEAAQIECBAgQIAAAQKTAl0okKqr/5n8RVITNjw+0QgQIECAAAECBAgQIPALAl0pkKrjZyT7Jd+uFxoBAgQIECBAgAABAgSmCnSpQJrad68JECBAgAABAgQIECCwnoACaT0OLwgQIECAAAECBAgQ6LKAAqnLo6/vBAgQIECAAAECBAisJ6BAWo/DCwIECBAgQIAAAQIEuiygQOry6Os7AQIECBAgQIAAAQLrCSiQ1uPwggABAgQIECBAgACBLgsokLo8+vpOgAABAgQIECBAgMB6Agqk9Ti8IECAAAECBAgQIECgywIKpC6Pvr4TIECAAAECBAgQILCegAJpPQ4vCBAgQIAAAQIECBDosoACqcujr+8ECBAgQIAAAQIECKwnsHC9V14QINAGgUPTiafNQUf2moNjOiQBAgQIECBAYFYFFEizyunLCMy9wKJFi163ww47HLL77ruvGuXZ3HrrrQtuvPHGUR7SsQgQIECAAAECsy6gQJp1Ul9IYG4F5s+fP+/www9fePzxx4/0f98f+tCHJs4444y57byjEyBAgAABAgQ2U8BvkDYT0McJECBAgAABAgQIEGiPgAKpPWOpJwQIECBAgAABAgQIbKaAAmkzAX2cAAECBAgQIECAAIH2CCiQ2jOWekKAAAECBAgQIECAwGYKKJA2E9DHCRAgQIAAAQIECBBoj4ACqT1jqScECBAgQIAAAQIECGymgAJpMwF9nAABAgQIECBAgACB9ggokNozlnpCgAABAgQIECBAgMBmCiiQNhPQxwkQIECAAAECBAgQaI+AAqk9Y6knBAgQIECAAAECBAhspoACaTMBfZwAAQIECBAgQIAAgfYIKJDaM5Z6QoAAAQIECBAgQIDAZgookDYT0McJECBAgAABAgQIEGiPgAKpPWOpJwQIECBAgAABAgQIbKaAAmkzAX2cAAECBAgQIECAAIH2CCiQ2jOWekKAAAECBAgQIECAwGYKKJA2E9DHCRAgQIAAAQIECBBoj4ACqT1jqScECBAgQIAAAQIECGymgAJpMwF9nAABAgQIECBAgACB9ggsbE9X9IQAAQIECBCYDYFly5ZNrF69+gH5rv97Nr5vht+xOvufl9w9w8/ZnQABArMioECaFUZfQoAAAQIE2iPwgx/8YGLevHm77bXXXm8ada9+/OMfb5NjXp38y6iP7XgECBAoAQWSvwcECBAgQIDAegLr1q2beMhDHrLuQx/60P3We2MEL57xjGesXrVq1bwRHMohCBAgMK2A3yBNy2IjAQIECBAgQIAAAQJdFFAgdXHU9ZkAAQIECBAgQIAAgWkFFEjTsthIgAABAgQIECBAgEAXBRRIXRx1fSZAgAABAgQIECBAYFoBBdK0LDYSIECAAAECBAgQINBFAQVSF0ddnwkQIECAAAECBAgQmFZAgTQti40ECBAgQIAAAQIECHRRQIHUxVHXZwIECBAgQIAAAQIEphVQIE3LYiMBAgQIECBAgAABAl0UUCB1cdT1mQABAgQIECBAgACBaQUUSNOy2EiAAAECBAgQIECAQBcFFEhdHHV9JkCAAAECBAgQIEBgWgEF0rQsNhIgQIAAAQIECBAg0EUBBVIXR12fCRAgQIAAAQIECBCYVkCBNC2LjQQIECBAgAABAgQIdFFAgdTFUddnAgQIECBAgAABAgSmFVAgTctiIwECBAgQIECAAAECXRRQIHVx1PWZAAECBAgQIECAAIFpBRRI07LYSIAAAQIECBAgQIBAFwUUSF0cdX0mQIAAAQIECBAgQGBaAQXStCw2EiBAgAABAgQIECDQRQEFUhdHXZ8JECBAgAABAgQIEJhWQIE0LYuNBAgQIECAAAECBAh0UUCB1MVR12cCBAgQIECAAAECBKYVUCBNy2IjAQIECBAgQIAAAQJdFFAgdXHU9ZkAAQIECBAgQIAAgWkFFEjTsthIgAABAgQIECBAgEAXBRRIXRx1fSZAgAABAgQIECBAYFoBBdK0LDYSIECAAAECBAgQINBFAQVSF0ddnwkQIECAAAECBAgQmFZAgTQti40ECBAgQIAAAQIECHRRQIHUxVHXZwIECBAgQIAAAQIEphVQIE3LYiMBAgQIECBAgAABAl0UUCB1cdT1mQABAgQIECBAgACBaQUUSNOy2EiAAAECBAgQIECAQBcFFnax0/pMYAQCO+QYb0q2HsGx1jvEunXrHrPeBi8IECBAgAABAgSGFlAgDU1lRwIzEnhk9j7+2c9+9tqFC0f7P7NLL7103ozO1M4ECBAgQIAAAQL/IzDaf3P7n8NaIdANgZNOOmn+dtttN9LOPuc5z1mbAyqSRqruYAQIECBAgEBbBBRIbRlJ/SBAgAABAu0QmL/11lufk64sH3V3Vq1a9fG1a9f+2aiP63gECDRLQIHUrPFwNgQIECBAoNMCa9asmXf44Yc/dO+99x6pwxVXXDFx5ZVX/trPfvazkR7XwQgQaJ6AAql5Y+KMCBAgQIBApwUOOeSQiac//ekjNbjnnnuqQBrpMR2MAIFmCpjmu5nj4qwIECBAgAABAgQIEJgDAQXSHKA7JAECBAgQIECAAAECzRRQIDVzXJwVAQIECBAgQIAAAQJzIKBAmgN0hyRAgAABAgQIECBAoJkCCqRmjouzIkCAAAECBAgQIEBgDgQUSHOA7pAECBAgQIAAAQIECDRTQIHUzHFxVgQIECBAgAABAgQIzIGAAmkO0B2SAAECBAgQIECAAIFmCiiQmjkuzooAAQIECBAgQIAAgTkQUCDNAbpDEiBAgAABAgQIECDQTAEFUjPHxVkRIECAAAECBAgQIDAHAgqkOUB3SAIECBAgQIAAAQIEmimgQGrmuDgrAgQIECBAgAABAgTmQECBNAfoDkmAAAECBAgQIECAQDMFFEjNHBdnRYAAAQIECBAgQIDAHAgokOYA3SEJECBAgAABAgQIEGimgAKpmePirAgQIECAAAECBAgQmAMBBdIcoDskAQIECBAgQIAAAQLNFFAgNXNcnBUBAgQIECBAgAABAnMgoECaA3SHJECAAAECBAgQIECgmQIKpGaOi7MiQIAAAQIECBAgQGAOBBbOwTEdkgABAgQIECDQKIFVq1ZNrFmzZvuc1CFzcGKrc8yvJOvm4NgOSYDAFAEF0hQQLwkQIECAAIHuCXznO9+ZSJH0mPT8S3PU+6fluFUkaQQIzLGAAmmOB8DhRyKwYCRHWf8gbl9d38MrAgQINFpg7dq1E/vuu+/a9773vSP9/+9169ZNPPWpTy2bRY0GcnIEOiSgQOrQYHexq/Pnz39n/qH3ii72XZ8JECBAYOYC8+bNm/mHfIIAgVYJKJBaNZw6M1Ug/6B78DOf+cyJo48+eupbW/T1FVdcMfHud797ix7DlxMgQIAAAQIECMy+gAJp9k19Y8MEdt1114n9999/pGd10003jfR4DkaAAAECBAgQIDA7AiO9z3Z2Ttm3ECBAgAABAgQIECBAYMsIKJC2jKtvJUCAAAECBAgQIEBgDAXcYjeGg+aUCRAgQIAAgfYI1MQQCxcuPCM9umPUvcrU5hflmGeP+riOR6DJAgqkJo+OcyNAgAABAgRaLVDTfFcyodCTHvSgB420r9/85jcnfvjDHy5YuXKlAmmk8g7WdAEFUtNHyPkRIECAAAECrRc48sgjJw444ICR9vPss8+uAmmkx3QwAuMg4DdI4zBKzpEAAQIECBAgQIAAgZEIKJBGwuwgBAgQIECAAAECBAiMg4ACaRxGyTkSIECAAAECBAgQIDASAb9BGgmzg0TgYck2cyCx/Rwc0yEJECBAgAABAgTGVKCLBdJOGasdk62TZUlNqbk80bacQBVH1265r9/wN9fMQBoBAgQIECDwiwJr1qyZWLt27bZ555d+8d0tvmVljmCGiC3O7ACbItCVAqmmhTk+eX6y6zRQP8q2S5LXJ7dM875Nmydwv/r4+973vomdd955875php9+6UtfujYfcSvpDN3sToAAAQLtF/jOd74zkecgHZSefmeOeluF2Xfn6NgOS2CDAl0okE5O70+ZFKirGF9Jbkvq6lFdSap/Y98zOTY5MjkhuSDRZllgl112mXjgAx84y9+68a+bP19ttHEh7xIgQIBAVwXqCtJ+++239vTTTx/pPyyXLVs2UdOap/11Uv9ONur2iRzww6M+qOONj0DbC6SjMhRVHH06OSm5MpmuzcvGg5N6ivX5yZLk8qRt7enp0HPnoFOjvWw0Bx10SAIECBAgMI4CCxcunHjAAx4w0lPPVat7j3fwwQcfPupjX3nllRM33HDDL+UW/O1G2un7Dlb/vln/TjoX7ac56H3wc3H0MTtmDVSbWxU7v5I8Lql7XQe1+n3Sj5O6gvSKQTtv5P198t6/J1ttZJ/+t+q/3NRvomr/1f1vzPL6ufm+l83ydw79dfk/4TXz5s0b6Y+C8l/HFtQJLliwYM3QJzoLO+ae7nl17EWLFm3J8Zz2THPsBfXbqy71Of1dkH6PvM8Z43nlPRfjXH1O1uUqad1GOrKWPs9Pn+d3qc+rV6+eH+p56fNI/3+kBjXW9R8y1456nOeyz/k7tjD/rOhMn/N3ayLe+Ufk6P8ZmULl3n9GjvrvdgP63PZ//53unwl/k42vme4N235RoO1/Qb6dLn8r+d1f7PoGt3w579yeLN7gHoPfqILn2cmiwbveu0eNQ917dt6Q+2/qbg/JB/ff1A9v5ucelc//YDO/Y1M+Xr85q/9iUpNxjLo9Ige8etQHzfEelKxI7h7xsevv/d7JXPS5/m7fmfz/7dwJmBxlncdxAuEm4VLkEI0RAY2EI4giR2IUQeEJnhyLIo83u6K7y4KuuvuAut6iPiuI+iw+q+uy+CCuoi6KCg+C3IoGAQGNgXBD5D4Sjv19M/WSStEz6e6QTvf09/88v6mqt6vr+ExNTb1dNdPrf7jCxQWP6M5Lel1bZYU8mvJQj1fMBTvrnt/j9bI6rG9L2vnAi/mfruIDLH6ubni6FtjBcqZk3gVJrz9s4W9Huft/U9Lr4jyCda87pNxR4NH7m5NeF78vOI/09AOPrG9Swj9p4Oeq17Wqfkdyu4zrszt6vcNZ36q6FmJXr0hWxbHNuq0+E/hZtufqhB+Edoo7SPcmn2tnZudRQAEFFFBAAQUUUEABBQZJ4LBsLI90/TB56RgbPiGv7ZVcnPAp3R6JpYACCiiggAIKKKCAAgqMKwE6PjxvyWM3dJR4TOGi5MfJqdXwwgy55cjri5MPJJYCCiiggAIKKKCAAgooMG4FpmbP6BDxLDUdoXroPF2XfD7ZOrEUUEABBRRQQAEFFFBgSAW4wzJsNTk7zB9hrpPcnvCH3ZYCCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCvROYELvVuWaFFCgRwL8XK/Zo3W5GgUUUEABBQZNYNGgbbDb21sBO0i99XZtCvRC4Pqs5Pm9WJHrUEABBRRQYAAF5mabpw/gdrvJPRKY2KP1uBoFFOidwA1Z1QXJyb1bpWsaIoHZ2dd/TA4Yon12V3sr8Mus7iPJhb1drWsbEgHOX2sPyb66m10K2EHqEs63KdDHAjw6cHPixUUff5MGeNO2zrY/6vE1wN/B/t/0x7OJ13iM9f83akC38NZs9xYDuu1udo8EVu/RelyNAgoooIACCiiggAIKKND3AnaQ+v5b5AYqoIACCiiggAIKKKBArwTsIPVK2vUooIACCiiggAIKKKBA3wvYQer7b5EbqIACCiiggAIKKKCAAr0SsIPUK2nXo4ACCiiggAIKKKCAAn0vYAep779FbqACCiiggAIKKKCAAgr0SsAOUq+kXY8CCiiggAIKKKCAAgr0vYAdpL7/FrmBCiiggAIKKKCAAgoo0CsBO0i9knY9CiiggAIKKKCAAgoo0PcCdpD6/lvkBirQscCivINYCqwMgcVZqMfXypB1mUWA44vjzFJgZQh4DlsZqi5TAQUU6HOBZ2X7NujzbXTzBldgjWz6lMHdfLd8AASmZhv9AHcAvlEDuokbZrufMaDb7mYroIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIAC401gjfG2Q+6PAuNY4HXZN35m7xhjHzfPazOTqcl9yQNJq2I5uye7JY8mCxNruAWmZPf3T+Y2GDbJNMfVxmNk7bzWPNaenTaORYa3J4sTa3gFpmTXWx1fdZF1MjEjeXmyQXJn8ljSqjyHtVIZ7rbl/Y5cNzwcXzsntySLkrHKc9hYOr6mgAIK9IHAu7INTyRHj7Itk9N+RjUP85GHkn9OmvWCNFydlPkY/iHZOrGGU4Dj56rkvha7/4W01Y+VVuM/abzv+EzTISrz0gk/tjGPk8MjMNbxVRRmZ+QvSTlmGM5LaG+W57CmiNPL+x15YIj4oKYcX3SOzk748KdVeQ5rpWKbAgoo0EcCnNg5mXNiH62DdEn1+icz3CE5IqHTw3sOSUpNyMh5yb3JW5JtEn6xPJjMT9ZPrOES4M7QWQnHSqsOEsffCaPk+up9H86w1D4ZYVl02PmkdrekLP+ojFvDJbC84wuN5yR3J39N6EhPS45J7kruSaYkpTyHFQmHRWB5vyP3yIyPJ9yRfGvCExZvTG5KLky4A14vz2F1DccVUECBPhPYNNvzXwkXmw9Xw1YdJB5bYZ6Tk3q9KBO0n1trPLJqe0+tjVE6SczbbOc1a/wKvD67dnPC9/6RpFUHKc0ta5e0cpfoBwkXrdR6ybxkQcIjUKXWygjtNyb19vK6w/Ep0O7x9U/ZfY7BjzUYjqvaP1pr9xxWwxjy0XZ/R15aHUd7Nrz48IaO05dq7Z7DahiOKqCAAv0ocHE2iouG7yaHV+OtOkjn5DU+eeX5/WbxeMpLao0sk87WRrU2RnkEhkfy+EViDYfAa7KbHF98qjon+U3SbgeJDs/vE97LRUqpssxPl4ba8N8yzvro0FvjX6AcC+0cXxwvHBsch/Xi/EX7ibVGz2E1jCEf5Vjg+BjrdyR3hx5NLkta1VVp5EOiUuW49RxWRIZ0uPqQ7re7rcAgCFyejeRW/0EJj5+MVjPywq8SOj58kj8tmZ5MTH6ZlE7PmhnfKbk2aS6PR+6uSXZMmM8a/wJcNHwi2Tb5YYe7e1zm51HO8hhUeTufyFKXjAyW+Vradl2m1YnxKtDJ8cXfglBHLPm69MvbqtHyuuewpTaOrbZaO78jtwgUd63njwLG7z7m2ap63XPYKFA2K6CAAv0owCerfFLWvIM0uWr/SoY8znJHNc28PL//xqTUZhmh/ZzS0Bj+onp9y0a7k8Mh8Jvs5n1t7Oo2mYeL3z8k5dG68raTMsIxNrM01IZ7Va99vdbm6PAIjHV8cQF7fMJxdWXCp/fMz+NPX0jKhzaew4JhtRSYk1bOPc3fkRw7PAp8RdKszdPwWML7+MCH8hw24jD0X72DNPSHgAADLlA+9eLi89TkW8kbEj7Zp05P9l0yNvIYHaM88tKqFlaN67d60TYFKoF3ZcgFbbmQqMNMriZaHWMeX3Upx+sCXKRy7roq4Q74B5Odkz8nJydc4FJjHV+87jGGglUX4Ng5P+HpiIPqL2T8sKRcB0+qXhvrGPP4agCO58lyYIznfXTfFBjPAuVkPj07+e6ET8++n3w+Kb8MvpRxikfwqNF+7rnopbhYsRRoJcCnsUck3GnigrZZYx1jHl9NLaeLAOequckDyW7JBtXw1gz55L+cy8Y6vjLbko47Q89hKFhF4P0ZWZSUDxH5pyDfTo5Lzksojj1qrGPMc9iI0VB8He1CaSh23p1UYBwI3FLtA4/WNS9Yz0kbFxjbJxtV4zxKsEnSqkr7Pa1etE2BCMxJNku4uKCT1Kzyx87lWKq/Xto8vuoqjiPwD8mDyf7JpQkXqwyZ5nj5SEJxPvMctoTCLx0I0Pl+WXJ5wl2jTyXPS/iHDNclVDkveQ4b8Rj6r3aQhv4QEGDABTiZ85z+7S32g3Y6SdQzE57vZ75yoZrRZYp2LlLuXqbVCQWWCvB4HXXSyOApX9u5uLjpKe+yYZgFODftlvwqWdiA4KL17IQ75M9JPIcFwepK4Ld5F8fZ5GTjZM+ER++mJvzeK+clz2HBsEZ/1EYbBRQYDAEuGK5PtkvWa7HJ/HeevybMQ12dvCh5BhO14iLlhQmfsPl4Sg3G0ScFeLxkVsKx9IekVXF8UTNHBst8LW2XLNPqxLALcL7hw9rNRoFYq2ovjzd5DhsFyuZRBbjz/Y7q1QcyvL8a5/fgHgn/Lnxx1eY5rIJwoIACCgyCACd4Hi05usXGvrd67bjGa3zqSgfqzFr7GzLOco6ttTH6oYT2NzFhDaXAb7LXrR6bKxj89zqOEf7Gbaz6fV7k0c/JtZk2zDiPR/Ep7sRau6PDIzDW8UWHm78R2bXBsVWmuaO9oNbuOayG4eiTAnMyNtrvyNOr1/Z6cu6Rkc9lQAd970a757AGiJMKKKBAvwqMdfJfOxt9VcIvhxOT/RIehbot4aKURwhK8Ukt8/JL4ePJq5JPVNNnZGgNr8BYF7ColGOQ42asOjQvcixyN5IO95sTlk1nfZfEGk6BsY4vLlw5Jy1MPpi8InlnMj/hWHptUspzWJFwWBco56dWHyLOzIycf65NjkoOSE5JOLb4/dcsz2FNEacVUECBPhUY6+TPJk9KvpM8knDS53GBC5JWF6Q8VvB/CX+jxLzkp8nmiTW8AmNdwKJS7jIe3AbRYZmHi91yfDFeHnFp4+3OMg4Flnd80Umam5RjhuEfk32SZnkOa4o4PScEHDOtOkjoHJJwZ7scXw9n/N+TiUmr8hzWSsU2BRRQYEAFeF5/ekKHaXnFPDMSO0bLk/L1bgQm5E3bJNMS7nJaCrQjsGlm4rz0zDZm9hzWBpKzPClAZ2jbZMdk/SdbRx/xHDa6ja8ooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKDLjAGgO+/W6+Agoo0CuBl2ZFuyV/Th7r1UoHaD0vz7bumlyXPDFA2+2mdi4wKW/ZP1k7ua3zt6/mz1IXaL5FAQUUUEABBRToN4EzskFc+G/abxvWJ9tzVuWzbp9sj5ux8gSmVd/rE7tcRSc/S2tmHcckB3e5Lt+mgAIKdCywesfv8A0KKKCAAgooMMwC92fnf5xc2QOEg7KOzyYb9GBdrkIBBRRYIjBRBwUUUEABBRRQoAOB+Zn3gA7md1YFFFBgoATsIA3Ut8uNVUCBPhGYke14ZbJRclHy8+TBpFk8irRP8txkXnJeckVSr1mZeEZyevKShOVybj4nuSChtkv2S7ZOLktOS3jcr168h78L2Snhb0NYz5nJQ0m3NStvfFbC+tiuvZO/Jtw94G+N2in2jfeyD3hdn5yf/D6h1kvenNyR/CRp1o5pYJ9+mtxavdjuvs7O/BsnOLw94fHIHyTd3PlY3n6wbwcmdB7OTZq1exq2TdiWhdWL62Q4M3lFckPyo2RCMivhmLop6aTemJmx4ftVr1dlYqvkhwnfv1I7ZGSXBHf8qXZsy75ek/kvXvKupV+en9HXJFskv05Y9pxkcTWewTI1I1McHyyz+bO0V9oIxd+4PZp8P7k3sRRQQAEFFFBAAQVWsUD5u4kvZzseTx5J6KSQ85P1k3qdkAku6Jj35mrIP3egnYvQUiz3xuRfEpa1qBoyfmTy+oR11dtPzXS9pmaCC1Xec09yZzV+VYbTk26LbWNZX0xY9h8TLrAZ/1pSr1Z/g3RgZuDCu2zXw9U4DscmpbjQpiO3YWmoDc/N+H1J8e1kX+mM0GH5SsI2kLOTTqud/VgjC+X7TCeO8WbRobw94W9qqO2TYokR39+FCa5s535Jp0Unm/du3XjjLVX7WxrtfH9x79R2WrW8ExvL+2rVTmeIfWVbTkv+lND5KcV6eW15P0vfqeZjXsLPEh1tSwEFFFBAAQUUUKAPBMpF3YPZljck6yQvTPiEnIu3Y5JSb88IbXQauANDcQeCT/BpPzopxXK58KMTsG/CBfSrEzo6dIwWJkclfMI+Jbk2YRmsm+KOw6UJnQ4ugJmm9knuSujUrJV0U2WfWc6e1QLo3H09YRveXbUxaHaQJqeNT/p5764JnQYuxF+XsF84lg7RhzLO8t6R1GtKJrD5ZtXY6b7SQaKTSkfkncmhyd5JJ9XJfnw6C2Y/+D7Wa/dM0H5C1cgy6RTS+Zxdta2b4ckJ85HXJJ3W4XkD72VfS03PSFnmKaUxQ44JjjmMqE5sW3WQ3pNlsJ5vJXyfqT2SmxPaL05KnZER2tr5WTqsmrd5bJRlOVRAAQUUUEABBRRYRQLlou7vGut/Vaa52CsXn1xockFOx6B0ADK6pLhwvCXhwrRcRI62XB63YrkfS+r10UzQzp0l6pCE6XKhS1sp3strXLx2U2Xb3t9489qZXpDcVGs/K+Osiwt96mUJba0ubNlW5n1xQm2Z0JE5h4lalX2dWbV1uq9lPe+rLbPT0U72Y7ssnP36dmMlJ1XtO1TtR1bT723Mt3qmr6xe66aDtGnei+N3k1JHZ4Q7Ohcmf0lK0YFmW8v3pxPbadV763eQbkvb/IRjo14HZYL1XFxrLMfV8n6WeIsdpBqcowoo0BsBTsaWAgoooED7AvVHhXjXeQkXgFOZSD034W7PjxPuAtXrgUx8P9kg2b7+QsYvb0zPraYvabTfUk1PqoZcwFO/TKY3chUvpLiDsyL13403cwfoZwkdm80ar5VJnPZL/qNq4M4Y+8yFeLmrtl71GncZWN7MpP54GHdE5iUYU93ua/3ifGRJ7X/tZD/+mMXSEaHzWjrA3Kk5OOH7W76nMzJOcSzU6/FMfK/e0OH4XZn/goRO+xrVe1+d4WXJWQnHZjlOD8g46zszobq15b3PTjgOfpJwbNSLzhB3N1sVtvVq/izVX3NcAQUU6JnAxJ6tyRUpoIAC40PghsZuLMr0E0m5IN2uep1P01tVad8mL3LRXKq0l+lyUXl3aaiGpb00v6AaOaE0tBiyrm6LTt2dLd68oGrbIcNftHidJtZ7dDKrGp+YIRfl9yXUhJHBkq/fzFfumvxN8pmEC3b27fgEX6rbfZ038vauv3ayH6dkLd9IDkzoWL422ST516TUjhnhrs5tpaE2vLE23s0oj3HundAp/l2yV/KF5JzkuGR28ueEDtKvk9sTqltb3sv+UAtGBst85Y7Wrcu0LJ1Y3s/S0jkdU0ABBXoowC8rSwEFFFCgfYHHlzMrHQqq3EEYmVr6dVI1+vDSpiVjdLS6qbIcHkVqdcHNMvlboG5rzbyRjkzppJTlTK5GRrv43T6vcwHO/v40+XZyRXJpclzyt0m9uLBfmLAfdJDemrDO/0xKdbuv3dqy3k7347S858vJWxI6SOwHd1VOTUrdnxFcsSmdxfLahmWkyyGOn0/2TVj+ugkdWO5scWzSQbogmZqclJTq1pb3sz/UJiODp3xln256SutIZ7lFs00KKKDAqhWwg7Rq/V27AgqMP4Hrql160Si7Vtrnj/J6p83XVm+gE8SFcL141I87CaN1Yurzjja+Vl54bvKXxgx0HB5Mrmm0l8n3Z2Tj5Iik3snJ5JJ/d82w3HVjnE4EHYr3Jdsmr0vOS+YlpVb2vpb11Ied7gcdntOTQxPc9k9K5y+jSwqzWQl3Xs5P6rVTfaKLcY6/qxM6SGsnDyV0jhYneM5O6KhS/zsyWPJ1RWzLMVDuJNUWu9rzM7FBvcFxBRRQoN8FVu/3DXT7FFBAgQET4C7ORcmrEzon9XpxJuYkXPTz+NPTUVx8P5F8OKl3OFj2V5Kzk92ZWIH6+8Z7uRBm/36VPNZ4rUw+rxqpd3Bo2jkp28NdlHp9s5r4RIZbJs2OVS/2tb49jHe7H+zb1xI6KWW/MrqkTs5XvmfHJ7xeapeMHFImVmCI00uTAxM6YI8k1M+TZyVHJVcmf0pKrYgtx/wZySuTfcoCM+R4/FRtuptROnbUaHdkR171qwIKKKCAAgoooEDPBbgA5KJ20xZrppNAZ6HUjIwsSu5Ojk64cPxAcleV+iftoy2XTgLr2zOp1xGZoP3wWuMpVRsXwwcnr0/oXDDfD5Juq2wbjxWemNApOjK5I7kx2SIpdVZGWB+PdFHHJExfnhyavDz5YMJ7ceA1trNZv0sDr92ftLrz0Mm+nlkta3KG3VY3+zEhK6PzwX7waBkdhWadkAZen5t8MvlGwh05fGjfN+m2sGYZ5NjaQqbX2j9eay+j7dpOq5bDMVFq24zcknDcc+xx/F6SlP25MOOlynG1aWmoDZs/S7PyGvtxbfKZZOvEUkABBRRQQAEFFOgDgU4u6tjcnZPLknKhysUvn+Bzl6Beoy23kw4STwNwIU+HrKyPTs3pyeZJt1W27bAsgMf0WDZ3I7grNT2pV7ODRKfgq8mjSdkmlvGuhDtrtJ2cNIu7VbzGRXar6mRfn44OUrf78S/ZePZjrDso78nrFyT3JL9N+Lus8n3fI+PdFkbc1WH9M2oLoePWqr3M0q5tqw4Sy3h2cmoyL7k9+V4yNWE7OGZKleOqnQ7SxLzpf5LFCct5U2IpoIACCiiggAIKDLDA5Gw7nYm1erQPz8l6uEPFele06heyXFxvl0zqcKFsx07Jlm2+732ZjwvhWW3M/3Tu6/JW1+l+jLU87oy1uqvEe7grw/5vz8QqrE5tNxplW5+ZdvaHTs6KFHcmN1uRBfheBRRQQAEFFFBAAQVWVKDeQVrRZbXzfu4W8LcxPE5Fh2y81juzYzyK9o7GDnK3b2FyZ8LdnEGqBdnYq5PmBwE8PkgHiUdMLQUUUGAgBPhlZCmggAIKjH8BPn1/SQe7ySNfvapXZEWvTfh7Kx7fOjzhonplFOvYsM0FP5D5zm1z3k5m+3lmfjjhb2q4U8Rjduw3fz/GnarDkseTbr5nN+d9q6LoTB+V/Chh/N5kdvK25MLklMRSQAEFFFBAAQUUUKBvBPbPlvD3Q+3moMx7WjX/JhmuzOKfNdAh4q7KZ1fmirLsi5J2DeauxG3ZO8u+LGG/Cdt0cYJ7qW6+Z+W9vR5y5+iLCZ3Ksk/8g4rvJO12SDOrpYACCiiggAIKKKCAAjxOxx/zd/r3TeNBjs4nd4/WGQ87k31YM+F76X+bGyffUHdDAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUGBQBP4f00f8bvIFfB4AAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title \"weight\""
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# par(mfrow=c(1,3))\n",
    "hist(data$home_player_avg_age,main=\"age\",xlab=\"home_player_avg_age\" ,ylab = \"频数\")\n",
    "hist(data$home_player_avg_height,main=\"height\",xlab=\"home_player_avg_height\" ,ylab = \"频数\")\n",
    "hist(data$home_player_avg_weight,main=\"weight\",xlab=\"home_player_avg_weight\" ,ylab = \"频数\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "par(mfrow=c(1,1))\n",
    "boxplot(data$home_player_avg_age~data$home_win,names=c(\"loss\",\"win\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot(data$home_player_avg_height~data$home_win,names=c(\"loss\",\"win\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot(data$home_player_avg_weight~data$home_win,names=c(\"loss\",\"win\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "par(mfrow=c(1,1))\n",
    "boxplot(data$home_player_avg_overall_rating~data$home_win,names=c(\"loss\",\"win\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot(data$home_player_avg_overall_rating-data$away_player_avg_overall_rating~data$home_win,names=c(\"loss\",\"win\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot(data$home_player_avg_potential~data$home_win,names=c(\"loss\",\"win\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "boxplot(data$home_player_avg_attacking_work_rate_n-data$away_player_avg_attacking_work_rate_n~data$home_win,names=c(\"loss\",\"win\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Plot with title “Histogram of data$home_player_avg_overall_rating”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist(data$home_player_avg_overall_rating)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 球队属性\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Plot with title “home_buildUpPlaySpeed”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist(data$home_buildUpPlaySpeed,main=\"home_buildUpPlaySpeed\",xlab=\"\" ,ylab = \"频数\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# home_buildUpPlaySpeed\n",
    "par(mfrow=c(1,3))\n",
    "boxplot(data$home_buildUpPlaySpeed~data$home_win,names=c(\"loss\",\"win\"))\n",
    "boxplot(data$away_buildUpPlaySpeed~data$home_win,names=c(\"loss\",\"win\"))\n",
    "boxplot(data$home_buildUpPlaySpeed-data$away_buildUpPlaySpeed~data$home_win,names=c(\"loss\",\"win\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# home_buildUpPlayPassing\n",
    "par(mfrow=c(1,3))\n",
    "boxplot(data$home_buildUpPlayPassing~data$home_win,names=c(\"loss\",\"win\"))\n",
    "boxplot(data$away_buildUpPlayPassing~data$home_win,names=c(\"loss\",\"win\"))\n",
    "boxplot(data$home_buildUpPlayPassing-data$away_buildUpPlayPassing~data$home_win,names=c(\"loss\",\"win\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "data$home_win1 <- ifelse(data$home_win == \"True\", 1, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "FALSE"
      ],
      "text/latex": [
       "FALSE"
      ],
      "text/markdown": [
       "FALSE"
      ],
      "text/plain": [
       "[1] FALSE"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "FALSE"
      ],
      "text/latex": [
       "FALSE"
      ],
      "text/markdown": [
       "FALSE"
      ],
      "text/plain": [
       "[1] FALSE"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "is.infinite(data$home_buildUpPlaySpeed[20])\n",
    "is.finite(data$home_buildUpPlaySpeed[20])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 用all_in_one1画图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "valid_data <- data[is.finite(data$home_buildUpPlaySpeed), ]\n",
    "\n",
    "valid_data$home_win1 <- ifelse(valid_data$home_win == TRUE, 1, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>19419</li><li>1088</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 19419\n",
       "\\item 1088\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 19419\n",
       "2. 1088\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 19419  1088"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dim(valid_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Plot with title “home_buildUpPlaySpeed 与 home_win 为 1 的比例”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "breaks <- seq(min(valid_data$home_buildUpPlaySpeed), max(valid_data$home_buildUpPlaySpeed), length.out = 11)\n",
    "labels <- round((breaks[-1] + breaks[-length(breaks)]) / 2, 2)\n",
    "\n",
    "valid_data$group <- cut(valid_data$home_buildUpPlayPassing, breaks = 10, labels = FALSE)\n",
    "group_summary <- aggregate(valid_data$home_win1 ~ valid_data$group, data = valid_data, FUN = mean)\n",
    "\n",
    "barplot(\n",
    "  height = as.matrix(group_summary[c(\"valid_data$home_win1\")])[,1],\n",
    "  names.arg = labels,\n",
    "  xlab = \"home_buildUpPlaySpeed 分组中间值\",\n",
    "  ylab = \"home_win 为 1 的比例\",\n",
    "  main = \"home_buildUpPlaySpeed 与 home_win 为 1 的比例\",\n",
    "  col = \"skyblue\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 10 x 2</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>valid_data$group</th><th scope=col>valid_data$home_win1</th></tr>\n",
       "\t<tr><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td> 1</td><td>0.6082949</td></tr>\n",
       "\t<tr><td> 2</td><td>0.5298611</td></tr>\n",
       "\t<tr><td> 3</td><td>0.4761743</td></tr>\n",
       "\t<tr><td> 4</td><td>0.4492495</td></tr>\n",
       "\t<tr><td> 5</td><td>0.4515817</td></tr>\n",
       "\t<tr><td> 6</td><td>0.4651278</td></tr>\n",
       "\t<tr><td> 7</td><td>0.4425087</td></tr>\n",
       "\t<tr><td> 8</td><td>0.4120690</td></tr>\n",
       "\t<tr><td> 9</td><td>0.3916479</td></tr>\n",
       "\t<tr><td>10</td><td>0.3181818</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 10 x 2\n",
       "\\begin{tabular}{ll}\n",
       " valid\\_data\\$group & valid\\_data\\$home\\_win1\\\\\n",
       " <int> & <dbl>\\\\\n",
       "\\hline\n",
       "\t  1 & 0.6082949\\\\\n",
       "\t  2 & 0.5298611\\\\\n",
       "\t  3 & 0.4761743\\\\\n",
       "\t  4 & 0.4492495\\\\\n",
       "\t  5 & 0.4515817\\\\\n",
       "\t  6 & 0.4651278\\\\\n",
       "\t  7 & 0.4425087\\\\\n",
       "\t  8 & 0.4120690\\\\\n",
       "\t  9 & 0.3916479\\\\\n",
       "\t 10 & 0.3181818\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 10 x 2\n",
       "\n",
       "| valid_data$group &lt;int&gt; | valid_data$home_win1 &lt;dbl&gt; |\n",
       "|---|---|\n",
       "|  1 | 0.6082949 |\n",
       "|  2 | 0.5298611 |\n",
       "|  3 | 0.4761743 |\n",
       "|  4 | 0.4492495 |\n",
       "|  5 | 0.4515817 |\n",
       "|  6 | 0.4651278 |\n",
       "|  7 | 0.4425087 |\n",
       "|  8 | 0.4120690 |\n",
       "|  9 | 0.3916479 |\n",
       "| 10 | 0.3181818 |\n",
       "\n"
      ],
      "text/plain": [
       "   valid_data$group valid_data$home_win1\n",
       "1   1               0.6082949           \n",
       "2   2               0.5298611           \n",
       "3   3               0.4761743           \n",
       "4   4               0.4492495           \n",
       "5   5               0.4515817           \n",
       "6   6               0.4651278           \n",
       "7   7               0.4425087           \n",
       "8   8               0.4120690           \n",
       "9   9               0.3916479           \n",
       "10 10               0.3181818           "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "group_summary[c(\"valid_data$group\", \"valid_data$home_win1\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Plot with title “home_buildUpPlaySpeed 与 home_win 为 1 的比例”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "breaks <- seq(min(valid_data$home_buildUpPlaySpeed), max(valid_data$home_buildUpPlaySpeed), length.out = 11)\n",
    "labels <- round((breaks[-1] + breaks[-length(breaks)]) / 2, 2)\n",
    "\n",
    "valid_data$group <- cut(valid_data$home_buildUpPlayPassing, breaks = 10, labels = FALSE)\n",
    "group_summary <- aggregate(valid_data$home_win1 ~ valid_data$group, data = valid_data, FUN = mean)\n",
    "\n",
    "barplot(\n",
    "  height = as.matrix(group_summary[c(\"valid_data$home_win1\")])[,1],\n",
    "  names.arg = labels,\n",
    "  xlab = \"home_buildUpPlaySpeed 分组中间值\",\n",
    "  ylab = \"home_win 为 1 的比例\",\n",
    "  main = \"home_buildUpPlaySpeed 与 home_win 为 1 的比例\",\n",
    "  col = \"skyblue\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 建模"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "data$home_win <- ifelse(data$home_win == \"True\", 1, 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 只用球队属性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "model.team=glm(home_win ~ home_buildUpPlaySpeed+home_buildUpPlayPassing+home_chanceCreationPassing+home_chanceCreationCrossing+home_chanceCreationShooting+home_defencePressure+home_defenceAggression+home_defenceTeamWidth+away_buildUpPlaySpeed+away_buildUpPlayPassing+away_chanceCreationPassing+away_chanceCreationCrossing+away_chanceCreationShooting+away_defencePressure+away_defenceAggression+away_defenceTeamWidth,family=binomial(link=logit),data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "Call:\n",
       "glm(formula = home_win ~ home_buildUpPlaySpeed + home_buildUpPlayPassing + \n",
       "    home_chanceCreationPassing + home_chanceCreationCrossing + \n",
       "    home_chanceCreationShooting + home_defencePressure + home_defenceAggression + \n",
       "    home_defenceTeamWidth + away_buildUpPlaySpeed + away_buildUpPlayPassing + \n",
       "    away_chanceCreationPassing + away_chanceCreationCrossing + \n",
       "    away_chanceCreationShooting + away_defencePressure + away_defenceAggression + \n",
       "    away_defenceTeamWidth, family = binomial(link = logit), data = data)\n",
       "\n",
       "Coefficients:\n",
       "                              Estimate Std. Error z value Pr(>|z|)    \n",
       "(Intercept)                 -0.2464829  0.1816691  -1.357  0.17485    \n",
       "home_buildUpPlaySpeed       -0.0009010  0.0014271  -0.631  0.52782    \n",
       "home_buildUpPlayPassing     -0.0107839  0.0015208  -7.091 1.33e-12 ***\n",
       "home_chanceCreationPassing   0.0034571  0.0015318   2.257  0.02402 *  \n",
       "home_chanceCreationCrossing  0.0040794  0.0013869   2.941  0.00327 ** \n",
       "home_chanceCreationShooting  0.0049983  0.0014730   3.393  0.00069 ***\n",
       "home_defencePressure         0.0126147  0.0018328   6.883 5.87e-12 ***\n",
       "home_defenceAggression       0.0031283  0.0017036   1.836  0.06631 .  \n",
       "home_defenceTeamWidth       -0.0017197  0.0018132  -0.948  0.34291    \n",
       "away_buildUpPlaySpeed       -0.0012568  0.0014284  -0.880  0.37895    \n",
       "away_buildUpPlayPassing      0.0095084  0.0015188   6.261 3.83e-10 ***\n",
       "away_chanceCreationPassing  -0.0022320  0.0015319  -1.457  0.14510    \n",
       "away_chanceCreationCrossing -0.0043705  0.0013850  -3.156  0.00160 ** \n",
       "away_chanceCreationShooting -0.0011766  0.0014743  -0.798  0.42481    \n",
       "away_defencePressure        -0.0083281  0.0018290  -4.553 5.28e-06 ***\n",
       "away_defenceAggression      -0.0050475  0.0017010  -2.967  0.00300 ** \n",
       "away_defenceTeamWidth       -0.0004205  0.0018132  -0.232  0.81663    \n",
       "---\n",
       "Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n",
       "\n",
       "(Dispersion parameter for binomial family taken to be 1)\n",
       "\n",
       "    Null deviance: 33643  on 24395  degrees of freedom\n",
       "Residual deviance: 33337  on 24379  degrees of freedom\n",
       "AIC: 33371\n",
       "\n",
       "Number of Fisher Scoring iterations: 4\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(model.team)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 只用球队名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "model.team_name=glm(home_win ~ home_team_long_name+away_team_long_name,family=binomial(link=logit),data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "Call:\n",
       "glm(formula = home_win ~ home_team_long_name + away_team_long_name, \n",
       "    family = binomial(link = logit), data = data)\n",
       "\n",
       "Coefficients: (10 not defined because of singularities)\n",
       "                                                  Estimate Std. Error z value\n",
       "(Intercept)                                      -0.935089   0.545733  -1.713\n",
       "home_team_long_name1. FC Köln                     0.405631   0.466337   0.870\n",
       "home_team_long_name1. FC Nürnberg                 0.586576   0.472978   1.240\n",
       "home_team_long_name1. FSV Mainz 05                1.054337   0.453129   2.327\n",
       "home_team_long_nameAC Ajaccio                     0.324543   0.663219   0.489\n",
       "home_team_long_nameAC Arles-Avignon              -1.422381   1.196141  -1.189\n",
       "home_team_long_nameAC Bellinzona                  0.419845   0.734284   0.572\n",
       "home_team_long_nameADO Den Haag                   1.352874   0.623549   2.170\n",
       "home_team_long_nameAJ Auxerre                     0.916934   0.642117   1.428\n",
       "home_team_long_nameAS Monaco                      1.134514   0.625688   1.813\n",
       "home_team_long_nameAS Nancy-Lorraine              0.492520   0.636183   0.774\n",
       "home_team_long_nameAS Saint-Étienne               1.281784   0.617110   2.077\n",
       "home_team_long_nameAZ                             2.154621   0.623699   3.455\n",
       "home_team_long_nameAberdeen                       1.392913   0.598471   2.327\n",
       "home_team_long_nameAcadémica de Coimbra           0.555158   0.626323   0.886\n",
       "home_team_long_nameAjax                           3.035638   0.632594   4.799\n",
       "home_team_long_nameAmadora                        1.131894   1.142642   0.991\n",
       "home_team_long_nameAngers SCO                     0.529199   0.783586   0.675\n",
       "home_team_long_nameArka Gdynia                   -0.440833   0.830115  -0.531\n",
       "home_team_long_nameArsenal                        2.051761   0.638148   3.215\n",
       "home_team_long_nameAston Villa                    0.549104   0.639838   0.858\n",
       "home_team_long_nameAtalanta                       0.718330   0.598244   1.201\n",
       "home_team_long_nameAthletic Club de Bilbao        1.420538   0.752969   1.887\n",
       "home_team_long_nameAtlético Madrid                2.112712   0.755952   2.795\n",
       "home_team_long_nameBSC Young Boys                 1.600727   0.671406   2.384\n",
       "home_team_long_nameBari                           0.339002   0.669979   0.506\n",
       "home_team_long_nameBayer 04 Leverkusen            1.446949   0.448977   3.223\n",
       "home_team_long_nameBeerschot AC                   1.254617   0.683731   1.835\n",
       "home_team_long_nameBirmingham City                0.885119   0.701426   1.262\n",
       "home_team_long_nameBlackburn Rovers               0.935919   0.657855   1.423\n",
       "home_team_long_nameBlackpool                      0.391170   0.809634   0.483\n",
       "home_team_long_nameBoavista FC                    1.072247   0.697417   1.537\n",
       "home_team_long_nameBologna                        0.207470   0.601869   0.345\n",
       "home_team_long_nameBolton Wanderers               0.820412   0.658934   1.245\n",
       "home_team_long_nameBorussia Dortmund              1.801096   0.451331   3.991\n",
       "home_team_long_nameBorussia Mönchengladbach       1.362939   0.449314   3.033\n",
       "home_team_long_nameBournemouth                    0.562550   0.814963   0.690\n",
       "home_team_long_nameBrescia                        0.237513   0.761818   0.312\n",
       "home_team_long_nameBurnley                        0.570194   0.714548   0.798\n",
       "home_team_long_nameCA Osasuna                     1.007493   0.758543   1.328\n",
       "home_team_long_nameCD Nacional                    1.657274   0.618979   2.677\n",
       "home_team_long_nameCD Numancia                    1.150838   0.886777   1.298\n",
       "home_team_long_nameCD Tenerife                    0.995068   0.864514   1.151\n",
       "home_team_long_nameCF Os Belenenses               0.717755   0.642359   1.117\n",
       "home_team_long_nameCS Marítimo                    1.488688   0.620186   2.400\n",
       "home_team_long_nameCagliari                       0.593858   0.598774   0.992\n",
       "home_team_long_nameCardiff City                   0.507402   0.814604   0.623\n",
       "home_team_long_nameCarpi                          0.311228   0.763212   0.408\n",
       "home_team_long_nameCatania                        1.068845   0.602188   1.775\n",
       "home_team_long_nameCeltic                         2.933335   0.611604   4.796\n",
       "home_team_long_nameCesena                        -0.230786   0.659778  -0.350\n",
       "home_team_long_nameChelsea                        2.179313   0.639073   3.410\n",
       "home_team_long_nameChievo Verona                  0.171460   0.598086   0.287\n",
       "home_team_long_nameClub Brugge KV                 2.641399   0.672948   3.925\n",
       "home_team_long_nameCracovia                       0.332142   0.646651   0.514\n",
       "home_team_long_nameCrystal Palace                 0.908717   0.680094   1.336\n",
       "home_team_long_nameCórdoba CF                    -1.636084   1.268904  -1.289\n",
       "home_team_long_nameDSC Arminia Bielefeld         -0.974015   0.884594  -1.101\n",
       "home_team_long_nameDe Graafschap                  0.756039   0.678676   1.114\n",
       "home_team_long_nameDijon FCO                      0.616786   0.780782   0.790\n",
       "home_team_long_nameDundee FC                      0.632399   0.647529   0.977\n",
       "home_team_long_nameDundee United                  1.396804   0.599228   2.331\n",
       "home_team_long_nameDunfermline Athletic          -1.306516   1.178848  -1.108\n",
       "home_team_long_nameES Troyes AC                  -0.196576   0.729524  -0.269\n",
       "home_team_long_nameEintracht Braunschweig         0.336598   0.680425   0.495\n",
       "home_team_long_nameEintracht Frankfurt            0.779005   0.457713   1.702\n",
       "home_team_long_nameElche CF                       0.512865   0.819097   0.626\n",
       "home_team_long_nameEmpoli                         0.427759   0.669260   0.639\n",
       "home_team_long_nameEn Avant de Guingamp           0.941664   0.654807   1.438\n",
       "home_team_long_nameEstoril Praia                  1.571170   0.642889   2.444\n",
       "home_team_long_nameEverton                        1.454473   0.636114   2.286\n",
       "home_team_long_nameExcelsior                      0.869680   0.654551   1.329\n",
       "home_team_long_nameFC Aarau                       0.452507   0.707579   0.640\n",
       "home_team_long_nameFC Arouca                      1.174993   0.663440   1.771\n",
       "home_team_long_nameFC Augsburg                    0.703233   0.471742   1.491\n",
       "home_team_long_nameFC Barcelona                   3.174685   0.772419   4.110\n",
       "home_team_long_nameFC Basel                       2.069650   0.675242   3.065\n",
       "home_team_long_nameFC Bayern Munich               2.583440   0.466199   5.541\n",
       "home_team_long_nameFC Dordrecht                   0.262230   0.877918   0.299\n",
       "home_team_long_nameFC Energie Cottbus             0.530679   0.670683   0.791\n",
       "home_team_long_nameFC Groningen                   1.938965   0.622563   3.114\n",
       "home_team_long_nameFC Ingolstadt 04               0.934491   0.653133   1.431\n",
       "home_team_long_nameFC Lausanne-Sports             0.444671   0.703939   0.632\n",
       "home_team_long_nameFC Lorient                     0.939254   0.617656   1.521\n",
       "home_team_long_nameFC Luzern                      1.082396   0.669646   1.616\n",
       "home_team_long_nameFC Metz                        0.565602   0.776377   0.729\n",
       "home_team_long_nameFC Nantes                      0.771435   0.642176   1.201\n",
       "home_team_long_nameFC Paços de Ferreira           1.204684   0.618396   1.948\n",
       "home_team_long_nameFC Penafiel                    0.142028   0.874667   0.162\n",
       "home_team_long_nameFC Porto                       3.436565   0.642935   5.345\n",
       "home_team_long_nameFC Schalke 04                  1.573200   0.449795   3.498\n",
       "home_team_long_nameFC Sion                        1.236733   0.670254   1.845\n",
       "home_team_long_nameFC Sochaux-Montbéliard         1.077463   0.624888   1.724\n",
       "home_team_long_nameFC St. Gallen                  0.797572   0.678376   1.176\n",
       "home_team_long_nameFC St. Pauli                   0.009885   0.711810   0.014\n",
       "home_team_long_nameFC Thun                        0.842645   0.674906   1.249\n",
       "home_team_long_nameFC Twente                      2.375000   0.625126   3.799\n",
       "home_team_long_nameFC Utrecht                     1.896752   0.622781   3.046\n",
       "home_team_long_nameFC Vaduz                      -0.356733   0.775091  -0.460\n",
       "home_team_long_nameFC Volendam                    1.568088   0.983926   1.594\n",
       "home_team_long_nameFC Zürich                      0.784120   0.669967   1.170\n",
       "home_team_long_nameFCV Dender EH                  1.876752   1.174303   1.598\n",
       "home_team_long_nameFalkirk                        0.394135   0.689896   0.571\n",
       "home_team_long_nameFeirense                       0.238016   0.882489   0.270\n",
       "home_team_long_nameFeyenoord                      2.550402   0.626752   4.069\n",
       "home_team_long_nameFiorentina                     1.180913   0.594470   1.986\n",
       "home_team_long_nameFortuna Düsseldorf             0.343709   0.681130   0.505\n",
       "home_team_long_nameFrosinone                      0.372100   0.759547   0.490\n",
       "home_team_long_nameFulham                         1.270141   0.643007   1.975\n",
       "home_team_long_nameGFC Ajaccio                    0.272501   0.801242   0.340\n",
       "home_team_long_nameGKS Bełchatów                  0.163155   0.739738   0.221\n",
       "home_team_long_nameGenoa                          1.011580   0.594155   1.703\n",
       "home_team_long_nameGetafe CF                      0.924370   0.752893   1.228\n",
       "home_team_long_nameGil Vicente FC                 0.712996   0.657159   1.085\n",
       "home_team_long_nameGirondins de Bordeaux          1.435921   0.617254   2.326\n",
       "home_team_long_nameGo Ahead Eagles                1.138044   0.704970   1.614\n",
       "home_team_long_nameGranada CF                     0.597253   0.769123   0.777\n",
       "home_team_long_nameGrasshopper Club Zürich        1.184397   0.669973   1.768\n",
       "home_team_long_nameGrenoble Foot 38               0.263170   0.706360   0.373\n",
       "home_team_long_nameGórnik Łęczna                  0.278656   0.700035   0.398\n",
       "home_team_long_nameHamburger SV                   0.793966   0.449756   1.765\n",
       "home_team_long_nameHamilton Academical FC         0.673750   0.619481   1.088\n",
       "home_team_long_nameHannover 96                    1.085180   0.448521   2.419\n",
       "home_team_long_nameHeart of Midlothian            1.661099   0.601664   2.761\n",
       "home_team_long_nameHellas Verona                  0.544190   0.636048   0.856\n",
       "home_team_long_nameHeracles Almelo                1.647202   0.622601   2.646\n",
       "home_team_long_nameHertha BSC Berlin              0.650112   0.463418   1.403\n",
       "home_team_long_nameHibernian                      0.731493   0.610431   1.198\n",
       "home_team_long_nameHull City                      0.456800   0.669134   0.683\n",
       "home_team_long_nameHércules Club de Fútbol        0.783462   0.885145   0.885\n",
       "home_team_long_nameInter                          1.435638   0.595122   2.412\n",
       "home_team_long_nameInverness Caledonian Thistle   0.997693   0.603078   1.654\n",
       "home_team_long_nameJagiellonia Białystok          0.680204   0.631765   1.077\n",
       "home_team_long_nameJuventus                       1.843579   0.597947   3.083\n",
       "home_team_long_nameKAA Gent                       1.969751   0.663547   2.969\n",
       "home_team_long_nameKAS Eupen                      0.190104   0.917531   0.207\n",
       "home_team_long_nameKRC Genk                       2.061945   0.665598   3.098\n",
       "home_team_long_nameKSV Cercle Brugge              1.194369   0.673433   1.774\n",
       "home_team_long_nameKSV Roeselare                  0.614310   0.831331   0.739\n",
       "home_team_long_nameKV Kortrijk                    1.899105   0.664759   2.857\n",
       "home_team_long_nameKV Mechelen                    1.718213   0.664086   2.587\n",
       "home_team_long_nameKV Oostende                    1.756210   0.719462   2.441\n",
       "home_team_long_nameKVC Westerlo                   0.971127   0.675666   1.437\n",
       "home_team_long_nameKarlsruher SC                  0.398477   0.692234   0.576\n",
       "home_team_long_nameKilmarnock                     0.807681   0.599362   1.348\n",
       "home_team_long_nameKorona Kielce                  0.503565   0.631807   0.797\n",
       "home_team_long_nameLOSC Lille                     1.793123   0.618978   2.897\n",
       "home_team_long_nameLazio                          1.199203   0.594385   2.018\n",
       "home_team_long_nameLe Havre AC                   -0.043583   0.828269  -0.053\n",
       "home_team_long_nameLe Mans FC                     0.669069   0.709449   0.943\n",
       "home_team_long_nameLecce                         -0.188491   0.655994  -0.287\n",
       "home_team_long_nameLech Poznań                    1.142398   0.628044   1.819\n",
       "home_team_long_nameLechia Gdańsk                  0.342864   0.645333   0.531\n",
       "home_team_long_nameLegia Warszawa                 1.297897   0.632591   2.052\n",
       "home_team_long_nameLeicester City                 1.571532   0.702438   2.237\n",
       "home_team_long_nameLeixões SC                     0.498493   0.791011   0.630\n",
       "home_team_long_nameLevante UD                     1.013929   0.761287   1.332\n",
       "home_team_long_nameLierse SK                      0.484152   0.692882   0.699\n",
       "home_team_long_nameLiverpool                      1.752714   0.636768   2.753\n",
       "home_team_long_nameLivorno                       -0.117951   0.689312  -0.171\n",
       "home_team_long_nameLugano                         0.273949   0.946826   0.289\n",
       "home_team_long_nameManchester City                2.603684   0.643423   4.047\n",
       "home_team_long_nameManchester United              2.685218   0.644655   4.165\n",
       "home_team_long_nameMiddlesbrough                  0.393862   0.816013   0.483\n",
       "home_team_long_nameMilan                          1.480338   0.595316   2.487\n",
       "home_team_long_nameMontpellier Hérault SC         1.463468   0.620380   2.359\n",
       "home_team_long_nameMoreirense FC                  0.487912   0.678305   0.719\n",
       "home_team_long_nameMotherwell                     1.417963   0.599986   2.363\n",
       "home_team_long_nameMálaga CF                      1.065864   0.752734   1.416\n",
       "home_team_long_nameN.E.C.                         1.248412   0.627821   1.988\n",
       "home_team_long_nameNAC Breda                      1.447547   0.628604   2.303\n",
       "home_team_long_nameNapoli                         1.607936   0.596251   2.697\n",
       "home_team_long_nameNaval 1° de Maio               0.575418   0.700846   0.821\n",
       "home_team_long_nameNeuchâtel Xamax                0.650241   0.711939   0.913\n",
       "home_team_long_nameNewcastle United               1.078204   0.640791   1.683\n",
       "home_team_long_nameNorwich City                   0.910849   0.662444   1.375\n",
       "home_team_long_nameNovara                        -0.281482   0.814199  -0.346\n",
       "home_team_long_nameOGC Nice                       1.150875   0.617313   1.864\n",
       "home_team_long_nameOdra Wodzisław               -11.929534 225.936753  -0.053\n",
       "home_team_long_nameOlympique Lyonnais             1.711859   0.618158   2.769\n",
       "home_team_long_nameOlympique de Marseille         1.375548   0.617145   2.229\n",
       "home_team_long_nameOud-Heverlee Leuven            1.057151   0.703533   1.503\n",
       "home_team_long_nameP. Warszawa                    0.653573   0.671100   0.974\n",
       "home_team_long_namePEC Zwolle                     1.705621   0.645584   2.642\n",
       "home_team_long_namePSV                            3.236704   0.637264   5.079\n",
       "home_team_long_namePalermo                        1.075824   0.597413   1.801\n",
       "home_team_long_nameParis Saint-Germain            2.005354   0.620099   3.234\n",
       "home_team_long_nameParma                          0.799301   0.602551   1.327\n",
       "home_team_long_namePartick Thistle F.C.           0.617778   0.646119   0.956\n",
       "home_team_long_namePescara                       -0.287231   0.806883  -0.356\n",
       "home_team_long_namePiast Gliwice                  0.419851   0.639876   0.656\n",
       "home_team_long_namePodbeskidzie Bielsko-Biała    -0.486599   0.661014  -0.736\n",
       "home_team_long_namePogoń Szczecin                 0.268578   0.650496   0.413\n",
       "home_team_long_namePolonia Bytom                  0.114204   0.632275   0.181\n",
       "home_team_long_namePortimonense                   0.628117   0.840527   0.747\n",
       "home_team_long_namePortsmouth                     0.722390   0.708737   1.019\n",
       "home_team_long_nameQueens Park Rangers            0.423939   0.687415   0.617\n",
       "home_team_long_nameRAEC Mons                      1.190124   0.729974   1.630\n",
       "home_team_long_nameRC Celta de Vigo               0.893937   0.774663   1.154\n",
       "home_team_long_nameRC Deportivo de La Coruña      0.722541   0.759327   0.952\n",
       "home_team_long_nameRC Lens                        0.621249   0.661025   0.940\n",
       "home_team_long_nameRC Recreativo                 -0.183107   0.944130  -0.194\n",
       "home_team_long_nameRCD Espanyol                   1.088822   0.752453   1.447\n",
       "home_team_long_nameRCD Mallorca                   1.383243   0.763102   1.813\n",
       "home_team_long_nameRKC Waalwijk                   1.298829   0.650340   1.997\n",
       "home_team_long_nameRSC Anderlecht                 2.728387   0.675126   4.041\n",
       "home_team_long_nameRacing Santander               0.178843   0.778615   0.230\n",
       "home_team_long_nameRangers                        2.695128   0.635244   4.243\n",
       "home_team_long_nameRayo Vallecano                 1.061920   0.766236   1.386\n",
       "home_team_long_nameReading                        0.104702   0.845872   0.124\n",
       "home_team_long_nameReal Betis Balompié            0.559833   0.769357   0.728\n",
       "home_team_long_nameReal Madrid CF                 3.124596   0.771303   4.051\n",
       "home_team_long_nameReal Sociedad                  1.342826   0.760970   1.765\n",
       "home_team_long_nameReal Sporting de Gijón         0.923111   0.765379   1.206\n",
       "home_team_long_nameReal Valladolid                0.549178   0.773076   0.710\n",
       "home_team_long_nameReal Zaragoza                  0.839835   0.771899   1.088\n",
       "home_team_long_nameReggio Calabria               -0.659780   0.854679  -0.772\n",
       "home_team_long_nameRio Ave FC                     0.985601   0.620575   1.588\n",
       "home_team_long_nameRoda JC Kerkrade               1.331043   0.627682   2.121\n",
       "home_team_long_nameRoma                           1.635481   0.596307   2.743\n",
       "home_team_long_nameRoss County FC                 1.300994   0.621908   2.092\n",
       "home_team_long_nameRoyal Excel Mouscron           1.012288   0.721960   1.402\n",
       "home_team_long_nameRuch Chorzów                   0.192907   0.629291   0.307\n",
       "home_team_long_nameS.C. Olhanense                 0.566947   0.646244   0.877\n",
       "home_team_long_nameSC Bastia                      1.337405   0.638175   2.096\n",
       "home_team_long_nameSC Beira Mar                   0.557887   0.685708   0.814\n",
       "home_team_long_nameSC Braga                       2.369834   0.623400   3.801\n",
       "home_team_long_nameSC Cambuur                     1.450419   0.664191   2.184\n",
       "home_team_long_nameSC Freiburg                    0.670852   0.462212   1.451\n",
       "home_team_long_nameSC Heerenveen                  1.679024   0.622645   2.697\n",
       "home_team_long_nameSC Paderborn 07                0.027318   0.711411   0.038\n",
       "home_team_long_nameSD Eibar                       0.667669   0.816114   0.818\n",
       "home_team_long_nameSL Benfica                     3.465164   0.646092   5.363\n",
       "home_team_long_nameSM Caen                        0.712216   0.633700   1.124\n",
       "home_team_long_nameSV Darmstadt 98               -0.839965   0.864261  -0.972\n",
       "home_team_long_nameSV Werder Bremen               0.810147   0.449956   1.801\n",
       "home_team_long_nameSV Zulte-Waregem               1.269557   0.664101   1.912\n",
       "home_team_long_nameSampdoria                      0.726500   0.597966   1.215\n",
       "home_team_long_nameSassuolo                       0.451291   0.637332   0.708\n",
       "home_team_long_nameServette FC                    0.437720   0.751538   0.582\n",
       "home_team_long_nameSevilla FC                     1.753736   0.753654   2.327\n",
       "home_team_long_nameSiena                          0.376737   0.622263   0.605\n",
       "home_team_long_nameSint-Truidense VV              0.778464   0.696603   1.118\n",
       "home_team_long_nameSouthampton                    1.422298   0.661072   2.152\n",
       "home_team_long_nameSpVgg Greuther Fürth         -11.430072  75.238580  -0.152\n",
       "home_team_long_nameSparta Rotterdam               1.198078   0.766699   1.563\n",
       "home_team_long_nameSporting CP                    2.227310   0.619770   3.594\n",
       "home_team_long_nameSporting Charleroi             1.218642   0.671613   1.815\n",
       "home_team_long_nameSporting Lokeren               1.091629   0.665283   1.641\n",
       "home_team_long_nameSt. Johnstone FC               1.275212   0.603170   2.114\n",
       "home_team_long_nameSt. Mirren                     0.591888   0.613334   0.965\n",
       "home_team_long_nameStade Brestois 29              0.516108   0.660847   0.781\n",
       "home_team_long_nameStade Rennais FC               0.966142   0.618448   1.562\n",
       "home_team_long_nameStade de Reims                 0.877747   0.639846   1.372\n",
       "home_team_long_nameStandard de Liège              2.057380   0.666493   3.087\n",
       "home_team_long_nameStoke City                     1.303711   0.636266   2.049\n",
       "home_team_long_nameSunderland                     0.691262   0.638749   1.082\n",
       "home_team_long_nameSwansea City                   1.045321   0.652463   1.602\n",
       "home_team_long_nameTSG 1899 Hoffenheim            0.718261   0.450023   1.596\n",
       "home_team_long_nameTermalica Bruk-Bet Nieciecza  -0.035233   0.809573  -0.044\n",
       "home_team_long_nameTondela                       -0.017639   0.891037  -0.020\n",
       "home_team_long_nameTorino                         0.555633   0.610011   0.911\n",
       "home_team_long_nameTottenham Hotspur              1.803918   0.636938   2.832\n",
       "home_team_long_nameToulouse FC                    0.912116   0.617862   1.476\n",
       "home_team_long_nameTrofense                     -11.074516 219.557336  -0.050\n",
       "home_team_long_nameTubize                         0.979647   1.159241   0.845\n",
       "home_team_long_nameUD Almería                     0.566364   0.765575   0.740\n",
       "home_team_long_nameUD Las Palmas                  1.058262   0.878948   1.204\n",
       "home_team_long_nameUS Boulogne Cote D'Opale      -0.046330   0.828699  -0.056\n",
       "home_team_long_nameUdinese                        1.098975   0.596936   1.841\n",
       "home_team_long_nameUniao da Madeira               1.115546   0.788255   1.415\n",
       "home_team_long_nameUnião de Leiria, SAD           0.958335   0.679993   1.409\n",
       "home_team_long_nameVVV-Venlo                      1.194366   0.650895   1.835\n",
       "home_team_long_nameValencia CF                    1.703393   0.753560   2.260\n",
       "home_team_long_nameValenciennes FC                1.035239   0.625034   1.656\n",
       "home_team_long_nameVfB Stuttgart                  0.878410   0.449197   1.956\n",
       "home_team_long_nameVfL Bochum                    -0.352930   0.622172  -0.567\n",
       "home_team_long_nameVfL Wolfsburg                  1.394553   0.448647   3.108\n",
       "home_team_long_nameVillarreal CF                  1.649596   0.755939   2.182\n",
       "home_team_long_nameVitesse                        1.628902   0.622839   2.615\n",
       "home_team_long_nameVitória Guimarães              1.387609   0.616333   2.251\n",
       "home_team_long_nameVitória Setúbal                0.959712   0.628595   1.527\n",
       "home_team_long_nameWaasland-Beveren               0.792933   0.713157   1.112\n",
       "home_team_long_nameWatford                        0.845190   0.797527   1.060\n",
       "home_team_long_nameWest Bromwich Albion           0.850470   0.641965   1.325\n",
       "home_team_long_nameWest Ham United                1.125881   0.640571   1.758\n",
       "home_team_long_nameWidzew Łódź                    0.163801   0.673993   0.243\n",
       "home_team_long_nameWigan Athletic                 0.506887   0.654186   0.775\n",
       "home_team_long_nameWillem II                      0.962738   0.643781   1.495\n",
       "home_team_long_nameWisła Kraków                   0.549564   0.644647   0.853\n",
       "home_team_long_nameWolverhampton Wanderers        0.442786   0.687414   0.644\n",
       "home_team_long_nameXerez Club Deportivo           0.434983   0.898936   0.484\n",
       "home_team_long_nameZagłębie Lubin                 0.351585   0.667439   0.527\n",
       "home_team_long_nameZawisza Bydgoszcz              0.466487   0.700373   0.666\n",
       "home_team_long_nameÉvian Thonon Gaillard FC       0.817163   0.643970   1.269\n",
       "home_team_long_nameŚląsk Wrocław                  0.406558   0.636255   0.639\n",
       "away_team_long_name1. FC Köln                    -0.073951   0.412027  -0.179\n",
       "away_team_long_name1. FC Nürnberg                -0.019611   0.421690  -0.047\n",
       "away_team_long_name1. FSV Mainz 05               -0.422876   0.405128  -1.044\n",
       "away_team_long_nameAC Ajaccio                    -0.099984   0.360770  -0.277\n",
       "away_team_long_nameAC Arles-Avignon               0.606179   0.556218   1.090\n",
       "away_team_long_nameAC Bellinzona                  0.466681   0.480307   0.972\n",
       "away_team_long_nameADO Den Haag                  -0.780620   0.303004  -2.576\n",
       "away_team_long_nameAJ Auxerre                    -0.519880   0.338806  -1.534\n",
       "away_team_long_nameAS Monaco                     -0.962893   0.315148  -3.055\n",
       "away_team_long_nameAS Nancy-Lorraine             -0.262458   0.318780  -0.823\n",
       "away_team_long_nameAS Saint-Étienne              -0.475089   0.292453  -1.624\n",
       "away_team_long_nameAZ                            -1.277189   0.306443  -4.168\n",
       "away_team_long_nameAberdeen                      -0.695834   0.256029  -2.718\n",
       "away_team_long_nameAcadémica de Coimbra          -0.314170   0.294918  -1.065\n",
       "away_team_long_nameAjax                          -2.622125   0.350776  -7.475\n",
       "away_team_long_nameAmadora                       -0.540628   0.793587  -0.681\n",
       "away_team_long_nameAngers SCO                    -0.281121   0.530222  -0.530\n",
       "away_team_long_nameArka Gdynia                    0.884975   0.615709   1.437\n",
       "away_team_long_nameArsenal                       -1.443758   0.342717  -4.213\n",
       "away_team_long_nameAston Villa                   -0.474194   0.330176  -1.436\n",
       "away_team_long_nameAtalanta                       0.272104   0.249350   1.091\n",
       "away_team_long_nameAthletic Club de Bilbao       -0.491520   0.520994  -0.943\n",
       "away_team_long_nameAtlético Madrid               -0.991264   0.523690  -1.893\n",
       "away_team_long_nameBSC Young Boys                -0.569521   0.396359  -1.437\n",
       "away_team_long_nameBari                           0.467668   0.384397   1.217\n",
       "away_team_long_nameBayer 04 Leverkusen           -0.873118   0.404514  -2.158\n",
       "away_team_long_nameBeerschot AC                   0.257467   0.422912   0.609\n",
       "away_team_long_nameBirmingham City                0.031019   0.446527   0.069\n",
       "away_team_long_nameBlackburn Rovers               0.088038   0.373953   0.235\n",
       "away_team_long_nameBlackpool                     -0.249073   0.559240  -0.445\n",
       "away_team_long_nameBoavista FC                   -0.216297   0.447485  -0.483\n",
       "away_team_long_nameBologna                       -0.025782   0.247689  -0.104\n",
       "away_team_long_nameBolton Wanderers               0.202475   0.375472   0.539\n",
       "away_team_long_nameBorussia Dortmund             -1.149814   0.410180  -2.803\n",
       "away_team_long_nameBorussia Mönchengladbach      -0.088425   0.399338  -0.221\n",
       "away_team_long_nameBournemouth                   -0.580616   0.558725  -1.039\n",
       "away_team_long_nameBrescia                        0.616266   0.524510   1.175\n",
       "away_team_long_nameBurnley                        0.753503   0.475172   1.586\n",
       "away_team_long_nameCA Osasuna                     0.023406   0.530447   0.044\n",
       "away_team_long_nameCD Nacional                   -0.399413   0.297193  -1.344\n",
       "away_team_long_nameCD Numancia                    1.575970   0.816714   1.930\n",
       "away_team_long_nameCD Tenerife                    1.127195   0.761199   1.481\n",
       "away_team_long_nameCF Os Belenenses              -0.769109   0.345733  -2.225\n",
       "away_team_long_nameCS Marítimo                   -0.522310   0.302628  -1.726\n",
       "away_team_long_nameCagliari                       0.083682   0.248172   0.337\n",
       "away_team_long_nameCardiff City                   0.409534   0.585047   0.700\n",
       "away_team_long_nameCarpi                          0.114595   0.504237   0.227\n",
       "away_team_long_nameCatania                        0.429628   0.262786   1.635\n",
       "away_team_long_nameCeltic                        -1.857439   0.286635  -6.480\n",
       "away_team_long_nameCesena                         0.666728   0.338509   1.970\n",
       "away_team_long_nameChelsea                       -1.397358   0.341714  -4.089\n",
       "away_team_long_nameChievo Verona                  0.044023   0.239152   0.184\n",
       "away_team_long_nameClub Brugge KV                -1.256381   0.388010  -3.238\n",
       "away_team_long_nameCracovia                       0.560487   0.356197   1.574\n",
       "away_team_long_nameCrystal Palace                -0.692374   0.399536  -1.733\n",
       "away_team_long_nameCórdoba CF                     0.230774   0.700183   0.330\n",
       "away_team_long_nameDSC Arminia Bielefeld         -0.438538   0.628131  -0.698\n",
       "away_team_long_nameDe Graafschap                 -0.203295   0.386026  -0.527\n",
       "away_team_long_nameDijon FCO                      0.168583   0.531967   0.317\n",
       "away_team_long_nameDundee FC                     -0.478868   0.336463  -1.423\n",
       "away_team_long_nameDundee United                 -0.946124   0.258556  -3.659\n",
       "away_team_long_nameDunfermline Athletic           0.187367   0.529749   0.354\n",
       "away_team_long_nameES Troyes AC                   0.736629   0.435737   1.691\n",
       "away_team_long_nameEintracht Braunschweig         0.755818   0.648940   1.165\n",
       "away_team_long_nameEintracht Frankfurt            0.031455   0.408068   0.077\n",
       "away_team_long_nameElche CF                      -0.219772   0.601893  -0.365\n",
       "away_team_long_nameEmpoli                        -0.225409   0.377522  -0.597\n",
       "away_team_long_nameEn Avant de Guingamp          -0.017963   0.361939  -0.050\n",
       "away_team_long_nameEstoril Praia                 -0.982733   0.356549  -2.756\n",
       "away_team_long_nameEverton                       -1.131981   0.336465  -3.364\n",
       "away_team_long_nameExcelsior                     -0.397153   0.351435  -1.130\n",
       "away_team_long_nameFC Aarau                       0.246839   0.440661   0.560\n",
       "away_team_long_nameFC Arouca                     -0.792686   0.385350  -2.057\n",
       "away_team_long_nameFC Augsburg                   -0.125113   0.421710  -0.297\n",
       "away_team_long_nameFC Barcelona                  -2.444695   0.556749  -4.391\n",
       "away_team_long_nameFC Basel                      -1.509829   0.417851  -3.613\n",
       "away_team_long_nameFC Bayern Munich              -1.690969   0.427362  -3.957\n",
       "away_team_long_nameFC Dordrecht                   0.070541   0.600916   0.117\n",
       "away_team_long_nameFC Energie Cottbus             0.632909   0.659034   0.960\n",
       "away_team_long_nameFC Groningen                  -0.771613   0.302501  -2.551\n",
       "away_team_long_nameFC Ingolstadt 04               0.046249   0.621617   0.074\n",
       "away_team_long_nameFC Lausanne-Sports             0.606904   0.462278   1.313\n",
       "away_team_long_nameFC Lorient                    -0.048261   0.291503  -0.166\n",
       "away_team_long_nameFC Luzern                     -0.312739   0.395109  -0.792\n",
       "away_team_long_nameFC Metz                        0.481604   0.561472   0.858\n",
       "away_team_long_nameFC Nantes                     -0.130853   0.334815  -0.391\n",
       "away_team_long_nameFC Paços de Ferreira          -0.906269   0.303386  -2.987\n",
       "away_team_long_nameFC Penafiel                    0.174434   0.578598   0.301\n",
       "away_team_long_nameFC Porto                      -2.420227   0.361338  -6.698\n",
       "away_team_long_nameFC Schalke 04                 -0.400630   0.399750  -1.002\n",
       "away_team_long_nameFC Sion                       -0.088779   0.395049  -0.225\n",
       "away_team_long_nameFC Sochaux-Montbéliard         0.164448   0.308160   0.534\n",
       "away_team_long_nameFC St. Gallen                  0.064883   0.403313   0.161\n",
       "away_team_long_nameFC St. Pauli                   0.538815   0.633442   0.851\n",
       "away_team_long_nameFC Thun                       -0.277655   0.403880  -0.687\n",
       "away_team_long_nameFC Twente                     -1.794475   0.315699  -5.684\n",
       "away_team_long_nameFC Utrecht                    -0.824206   0.303119  -2.719\n",
       "away_team_long_nameFC Vaduz                       0.185960   0.477978   0.389\n",
       "away_team_long_nameFC Volendam                   -1.314739   1.254649  -1.048\n",
       "away_team_long_nameFC Zürich                     -0.552298   0.395821  -1.395\n",
       "away_team_long_nameFCV Dender EH                 -0.365357   1.011246  -0.361\n",
       "away_team_long_nameFalkirk                       -0.499394   0.390935  -1.277\n",
       "away_team_long_nameFeirense                       0.642874   0.651022   0.987\n",
       "away_team_long_nameFeyenoord                     -1.564592   0.309071  -5.062\n",
       "away_team_long_nameFiorentina                    -0.381618   0.242214  -1.576\n",
       "away_team_long_nameFortuna Düsseldorf             0.958876   0.686767   1.396\n",
       "away_team_long_nameFrosinone                      1.094386   0.561259   1.950\n",
       "away_team_long_nameFulham                        -0.326817   0.344672  -0.948\n",
       "away_team_long_nameGFC Ajaccio                   -0.071053   0.529748  -0.134\n",
       "away_team_long_nameGKS Bełchatów                  0.381070   0.486268   0.784\n",
       "away_team_long_nameGenoa                          0.138506   0.239620   0.578\n",
       "away_team_long_nameGetafe CF                      0.005348   0.520804   0.010\n",
       "away_team_long_nameGil Vicente FC                -0.144106   0.360271  -0.400\n",
       "away_team_long_nameGirondins de Bordeaux         -0.715959   0.294541  -2.431\n",
       "away_team_long_nameGo Ahead Eagles               -0.221927   0.443258  -0.501\n",
       "away_team_long_nameGranada CF                     0.122870   0.539198   0.228\n",
       "away_team_long_nameGrasshopper Club Zürich       -0.279035   0.394381  -0.708\n",
       "away_team_long_nameGrenoble Foot 38               0.297173   0.416962   0.713\n",
       "away_team_long_nameGórnik Łęczna                  0.799480   0.441399   1.811\n",
       "away_team_long_nameHamburger SV                  -0.123614   0.398769  -0.310\n",
       "away_team_long_nameHamilton Academical FC        -0.203634   0.284431  -0.716\n",
       "away_team_long_nameHannover 96                    0.436237   0.400522   1.089\n",
       "away_team_long_nameHeart of Midlothian           -0.666983   0.264859  -2.518\n",
       "away_team_long_nameHellas Verona                 -0.032429   0.322431  -0.101\n",
       "away_team_long_nameHeracles Almelo               -0.596129   0.303884  -1.962\n",
       "away_team_long_nameHertha BSC Berlin             -0.157126   0.412057  -0.381\n",
       "away_team_long_nameHibernian                     -0.351372   0.272729  -1.288\n",
       "away_team_long_nameHull City                     -0.035330   0.372883  -0.095\n",
       "away_team_long_nameHércules Club de Fútbol        0.725528   0.729260   0.995\n",
       "away_team_long_nameInter                         -0.632769   0.244924  -2.584\n",
       "away_team_long_nameInverness Caledonian Thistle  -0.744358   0.264624  -2.813\n",
       "away_team_long_nameJagiellonia Białystok          0.575570   0.318334   1.808\n",
       "away_team_long_nameJuventus                      -1.379460   0.268725  -5.133\n",
       "away_team_long_nameKAA Gent                      -1.857148   0.402042  -4.619\n",
       "away_team_long_nameKAS Eupen                     -0.468566   0.627290  -0.747\n",
       "away_team_long_nameKRC Genk                      -1.147159   0.387555  -2.960\n",
       "away_team_long_nameKSV Cercle Brugge             -0.187811   0.396479  -0.474\n",
       "away_team_long_nameKSV Roeselare                 -0.046316   0.586923  -0.079\n",
       "away_team_long_nameKV Kortrijk                   -0.515626   0.382018  -1.350\n",
       "away_team_long_nameKV Mechelen                   -0.470055   0.382475  -1.229\n",
       "away_team_long_nameKV Oostende                   -0.897934   0.486563  -1.845\n",
       "away_team_long_nameKVC Westerlo                  -0.424286   0.398037  -1.066\n",
       "away_team_long_nameKarlsruher SC                  1.287224   0.714347   1.802\n",
       "away_team_long_nameKilmarnock                    -0.513211   0.253597  -2.024\n",
       "away_team_long_nameKorona Kielce                  0.488278   0.321582   1.518\n",
       "away_team_long_nameLOSC Lille                    -0.996716   0.299579  -3.327\n",
       "away_team_long_nameLazio                         -0.193716   0.240608  -0.805\n",
       "away_team_long_nameLe Havre AC                    0.327187   0.550002   0.595\n",
       "away_team_long_nameLe Mans FC                     0.426984   0.435577   0.980\n",
       "away_team_long_nameLecce                          0.262204   0.327638   0.800\n",
       "away_team_long_nameLech Poznań                   -0.181077   0.329892  -0.549\n",
       "away_team_long_nameLechia Gdańsk                  0.356595   0.355057   1.004\n",
       "away_team_long_nameLegia Warszawa                -0.293462   0.335828  -0.874\n",
       "away_team_long_nameLeicester City                -0.984283   0.454221  -2.167\n",
       "away_team_long_nameLeixões SC                     0.725356   0.585161   1.240\n",
       "away_team_long_nameLevante UD                    -0.043536   0.530488  -0.082\n",
       "away_team_long_nameLierse SK                      0.149723   0.423044   0.354\n",
       "away_team_long_nameLiverpool                     -0.950922   0.334167  -2.846\n",
       "away_team_long_nameLivorno                        1.194187   0.424937   2.810\n",
       "away_team_long_nameLugano                         0.247066   0.731084   0.338\n",
       "away_team_long_nameManchester City               -1.157501   0.336830  -3.436\n",
       "away_team_long_nameManchester United             -1.588391   0.346373  -4.586\n",
       "away_team_long_nameMiddlesbrough                  1.075715   0.644100   1.670\n",
       "away_team_long_nameMilan                         -0.855791   0.249649  -3.428\n",
       "away_team_long_nameMontpellier Hérault SC        -0.535419   0.299100  -1.790\n",
       "away_team_long_nameMoreirense FC                 -0.665650   0.378790  -1.757\n",
       "away_team_long_nameMotherwell                    -0.492692   0.257929  -1.910\n",
       "away_team_long_nameMálaga CF                     -0.373755   0.520486  -0.718\n",
       "away_team_long_nameN.E.C.                        -0.809952   0.313475  -2.584\n",
       "away_team_long_nameNAC Breda                     -0.536377   0.312904  -1.714\n",
       "away_team_long_nameNapoli                        -0.542320   0.243860  -2.224\n",
       "away_team_long_nameNaval 1° de Maio              -0.058577   0.422411  -0.139\n",
       "away_team_long_nameNeuchâtel Xamax                0.029300   0.453585   0.065\n",
       "away_team_long_nameNewcastle United              -0.081540   0.337198  -0.242\n",
       "away_team_long_nameNorwich City                   0.141739   0.376171   0.377\n",
       "away_team_long_nameNovara                         1.022869   0.572788   1.786\n",
       "away_team_long_nameOGC Nice                      -0.132407   0.291036  -0.455\n",
       "away_team_long_nameOdra Wodzisław               -11.745178 324.743853  -0.036\n",
       "away_team_long_nameOlympique Lyonnais            -0.854206   0.296524  -2.881\n",
       "away_team_long_nameOlympique de Marseille        -1.178703   0.302650  -3.895\n",
       "away_team_long_nameOud-Heverlee Leuven           -0.487728   0.443783  -1.099\n",
       "away_team_long_nameP. Warszawa                    0.237371   0.391332   0.607\n",
       "away_team_long_namePEC Zwolle                    -0.847870   0.348370  -2.434\n",
       "away_team_long_namePSV                           -1.964656   0.320170  -6.136\n",
       "away_team_long_namePalermo                        0.197971   0.247906   0.799\n",
       "away_team_long_nameParis Saint-Germain           -1.354695   0.308127  -4.397\n",
       "away_team_long_nameParma                          0.084747   0.259004   0.327\n",
       "away_team_long_namePartick Thistle F.C.          -0.759434   0.339680  -2.236\n",
       "away_team_long_namePescara                        1.027769   0.558774   1.839\n",
       "away_team_long_namePiast Gliwice                  0.467704   0.350599   1.334\n",
       "away_team_long_namePodbeskidzie Bielsko-Biała     0.254460   0.347002   0.733\n",
       "away_team_long_namePogoń Szczecin                -0.157986   0.364142  -0.434\n",
       "away_team_long_namePolonia Bytom                  0.465826   0.323139   1.442\n",
       "away_team_long_namePortimonense                  -0.282675   0.642804  -0.440\n",
       "away_team_long_namePortsmouth                     0.025699   0.446424   0.058\n",
       "away_team_long_nameQueens Park Rangers            0.728661   0.421046   1.731\n",
       "away_team_long_nameRAEC Mons                     -0.411563   0.474710  -0.867\n",
       "away_team_long_nameRC Celta de Vigo              -0.172392   0.549090  -0.314\n",
       "away_team_long_nameRC Deportivo de La Coruña     -0.478650   0.530814  -0.902\n",
       "away_team_long_nameRC Lens                        0.091058   0.364068   0.250\n",
       "away_team_long_nameRC Recreativo                 -0.231068   0.691975  -0.334\n",
       "away_team_long_nameRCD Espanyol                   0.060935   0.521215   0.117\n",
       "away_team_long_nameRCD Mallorca                   0.001851   0.537794   0.003\n",
       "away_team_long_nameRKC Waalwijk                  -0.222014   0.354009  -0.627\n",
       "away_team_long_nameRSC Anderlecht                -1.990740   0.411126  -4.842\n",
       "away_team_long_nameRacing Santander              -0.370010   0.547959  -0.675\n",
       "away_team_long_nameRangers                       -2.131147   0.382024  -5.579\n",
       "away_team_long_nameRayo Vallecano                -0.137985   0.537959  -0.256\n",
       "away_team_long_nameReading                        1.023514   0.644709   1.588\n",
       "away_team_long_nameReal Betis Balompié           -0.191161   0.537603  -0.356\n",
       "away_team_long_nameReal Madrid CF                -1.878853   0.538214  -3.491\n",
       "away_team_long_nameReal Sociedad                 -0.340709   0.530135  -0.643\n",
       "away_team_long_nameReal Sporting de Gijón         0.027150   0.540644   0.050\n",
       "away_team_long_nameReal Valladolid                0.058605   0.548847   0.107\n",
       "away_team_long_nameReal Zaragoza                  0.021152   0.551153   0.038\n",
       "away_team_long_nameReggio Calabria                0.571778   0.520481   1.099\n",
       "away_team_long_nameRio Ave FC                    -0.742023   0.297719  -2.492\n",
       "away_team_long_nameRoda JC Kerkrade              -0.579990   0.313418  -1.851\n",
       "away_team_long_nameRoma                          -0.714886   0.246513  -2.900\n",
       "away_team_long_nameRoss County FC                -0.635373   0.309368  -2.054\n",
       "away_team_long_nameRoyal Excel Mouscron          -0.043983   0.482464  -0.091\n",
       "away_team_long_nameRuch Chorzów                   0.262160   0.317661   0.825\n",
       "away_team_long_nameS.C. Olhanense                -0.783886   0.336615  -2.329\n",
       "away_team_long_nameSC Bastia                      0.112693   0.336286   0.335\n",
       "away_team_long_nameSC Beira Mar                  -0.254808   0.390733  -0.652\n",
       "away_team_long_nameSC Braga                      -1.168055   0.304684  -3.834\n",
       "away_team_long_nameSC Cambuur                    -0.463336   0.381322  -1.215\n",
       "away_team_long_nameSC Freiburg                   -0.138239   0.411284  -0.336\n",
       "away_team_long_nameSC Heerenveen                 -1.282117   0.305996  -4.190\n",
       "away_team_long_nameSC Paderborn 07                0.224875   0.618692   0.363\n",
       "away_team_long_nameSD Eibar                      -0.112161   0.602532  -0.186\n",
       "away_team_long_nameSL Benfica                    -2.269193   0.350101  -6.482\n",
       "away_team_long_nameSM Caen                       -0.312700   0.318462  -0.982\n",
       "away_team_long_nameSV Darmstadt 98               -1.100023   0.655222  -1.679\n",
       "away_team_long_nameSV Werder Bremen              -0.090133   0.398760  -0.226\n",
       "away_team_long_nameSV Zulte-Waregem              -1.094105   0.385319  -2.839\n",
       "away_team_long_nameSampdoria                      0.005874   0.247256   0.024\n",
       "away_team_long_nameSassuolo                      -0.262937   0.323863  -0.812\n",
       "away_team_long_nameServette FC                          NA         NA      NA\n",
       "away_team_long_nameSevilla FC                    -0.608756   0.521601  -1.167\n",
       "away_team_long_nameSiena                          0.558263   0.300947   1.855\n",
       "away_team_long_nameSint-Truidense VV             -0.305560   0.418365  -0.730\n",
       "away_team_long_nameSouthampton                   -0.730886   0.375048  -1.949\n",
       "away_team_long_nameSpVgg Greuther Fürth          -0.270860   0.615645  -0.440\n",
       "away_team_long_nameSparta Rotterdam              -0.248959   0.548295  -0.454\n",
       "away_team_long_nameSporting CP                   -1.953429   0.332532  -5.874\n",
       "away_team_long_nameSporting Charleroi            -0.473666   0.401204  -1.181\n",
       "away_team_long_nameSporting Lokeren              -1.119933   0.385245  -2.907\n",
       "away_team_long_nameSt. Johnstone FC              -0.791530   0.266564  -2.969\n",
       "away_team_long_nameSt. Mirren                           NA         NA      NA\n",
       "away_team_long_nameStade Brestois 29              0.182357   0.365403   0.499\n",
       "away_team_long_nameStade Rennais FC              -0.510142   0.292251  -1.746\n",
       "away_team_long_nameStade de Reims                -0.041512   0.336285  -0.123\n",
       "away_team_long_nameStandard de Liège             -0.939314   0.385214  -2.438\n",
       "away_team_long_nameStoke City                    -0.227439   0.330318  -0.689\n",
       "away_team_long_nameSunderland                    -0.321078   0.330126  -0.973\n",
       "away_team_long_nameSwansea City                  -0.315147   0.356555  -0.884\n",
       "away_team_long_nameTSG 1899 Hoffenheim           -0.045730   0.398429  -0.115\n",
       "away_team_long_nameTermalica Bruk-Bet Nieciecza   0.371546   0.576388   0.645\n",
       "away_team_long_nameTondela                       -0.133063   0.567647  -0.234\n",
       "away_team_long_nameTorino                        -0.148219   0.272413  -0.544\n",
       "away_team_long_nameTottenham Hotspur             -1.076829   0.335838  -3.206\n",
       "away_team_long_nameToulouse FC                   -0.322278   0.291042  -1.107\n",
       "away_team_long_nameTrofense                      -1.611831   1.579723  -1.020\n",
       "away_team_long_nameTubize                        -0.050151   0.952193  -0.053\n",
       "away_team_long_nameUD Almería                     0.492909   0.543348   0.907\n",
       "away_team_long_nameUD Las Palmas                  0.206008   0.699084   0.295\n",
       "away_team_long_nameUS Boulogne Cote D'Opale       0.150728   0.532739   0.283\n",
       "away_team_long_nameUdinese                              NA         NA      NA\n",
       "away_team_long_nameUniao da Madeira               1.259062   0.699564   1.800\n",
       "away_team_long_nameUnião de Leiria, SAD          -0.246974   0.403175  -0.613\n",
       "away_team_long_nameVVV-Venlo                      0.232470   0.370677   0.627\n",
       "away_team_long_nameValencia CF                   -0.782159   0.522329  -1.497\n",
       "away_team_long_nameValenciennes FC                0.082692   0.307375   0.269\n",
       "away_team_long_nameVfB Stuttgart                 -0.326433   0.399008  -0.818\n",
       "away_team_long_nameVfL Bochum                    -0.161358   0.509066  -0.317\n",
       "away_team_long_nameVfL Wolfsburg                 -0.379197   0.399666  -0.949\n",
       "away_team_long_nameVillarreal CF                 -0.634420   0.525505  -1.207\n",
       "away_team_long_nameVitesse                       -1.014598   0.303312  -3.345\n",
       "away_team_long_nameVitória Guimarães             -0.530756   0.298059  -1.781\n",
       "away_team_long_nameVitória Setúbal                      NA         NA      NA\n",
       "away_team_long_nameWaasland-Beveren                     NA         NA      NA\n",
       "away_team_long_nameWatford                       -0.336361   0.559080  -0.602\n",
       "away_team_long_nameWest Bromwich Albion          -0.396145   0.336618  -1.177\n",
       "away_team_long_nameWest Ham United               -0.376204   0.336599  -1.118\n",
       "away_team_long_nameWidzew Łódź                    0.558923   0.379840   1.471\n",
       "away_team_long_nameWigan Athletic                -0.052224   0.356284  -0.147\n",
       "away_team_long_nameWillem II                            NA         NA      NA\n",
       "away_team_long_nameWisła Kraków                   0.006509   0.356656   0.018\n",
       "away_team_long_nameWolverhampton Wanderers              NA         NA      NA\n",
       "away_team_long_nameXerez Club Deportivo                 NA         NA      NA\n",
       "away_team_long_nameZagłębie Lubin                 0.308899   0.391301   0.789\n",
       "away_team_long_nameZawisza Bydgoszcz              0.589698   0.443967   1.328\n",
       "away_team_long_nameÉvian Thonon Gaillard FC             NA         NA      NA\n",
       "away_team_long_nameŚląsk Wrocław                        NA         NA      NA\n",
       "                                                Pr(>|z|)    \n",
       "(Intercept)                                     0.086629 .  \n",
       "home_team_long_name1. FC Köln                   0.384398    \n",
       "home_team_long_name1. FC Nürnberg               0.214911    \n",
       "home_team_long_name1. FSV Mainz 05              0.019976 *  \n",
       "home_team_long_nameAC Ajaccio                   0.624598    \n",
       "home_team_long_nameAC Arles-Avignon             0.234384    \n",
       "home_team_long_nameAC Bellinzona                0.567475    \n",
       "home_team_long_nameADO Den Haag                 0.030035 *  \n",
       "home_team_long_nameAJ Auxerre                   0.153296    \n",
       "home_team_long_nameAS Monaco                    0.069797 .  \n",
       "home_team_long_nameAS Nancy-Lorraine            0.438824    \n",
       "home_team_long_nameAS Saint-Étienne             0.037795 *  \n",
       "home_team_long_nameAZ                           0.000551 ***\n",
       "home_team_long_nameAberdeen                     0.019941 *  \n",
       "home_team_long_nameAcadémica de Coimbra         0.375415    \n",
       "home_team_long_nameAjax                         1.60e-06 ***\n",
       "home_team_long_nameAmadora                      0.321884    \n",
       "home_team_long_nameAngers SCO                   0.499450    \n",
       "home_team_long_nameArka Gdynia                  0.595384    \n",
       "home_team_long_nameArsenal                      0.001304 ** \n",
       "home_team_long_nameAston Villa                  0.390786    \n",
       "home_team_long_nameAtalanta                     0.229856    \n",
       "home_team_long_nameAthletic Club de Bilbao      0.059217 .  \n",
       "home_team_long_nameAtlético Madrid              0.005194 ** \n",
       "home_team_long_nameBSC Young Boys               0.017119 *  \n",
       "home_team_long_nameBari                         0.612865    \n",
       "home_team_long_nameBayer 04 Leverkusen          0.001270 ** \n",
       "home_team_long_nameBeerschot AC                 0.066512 .  \n",
       "home_team_long_nameBirmingham City              0.206990    \n",
       "home_team_long_nameBlackburn Rovers             0.154828    \n",
       "home_team_long_nameBlackpool                    0.628994    \n",
       "home_team_long_nameBoavista FC                  0.124182    \n",
       "home_team_long_nameBologna                      0.730313    \n",
       "home_team_long_nameBolton Wanderers             0.213110    \n",
       "home_team_long_nameBorussia Dortmund            6.59e-05 ***\n",
       "home_team_long_nameBorussia Mönchengladbach     0.002418 ** \n",
       "home_team_long_nameBournemouth                  0.490020    \n",
       "home_team_long_nameBrescia                      0.755215    \n",
       "home_team_long_nameBurnley                      0.424883    \n",
       "home_team_long_nameCA Osasuna                   0.184114    \n",
       "home_team_long_nameCD Nacional                  0.007419 ** \n",
       "home_team_long_nameCD Numancia                  0.194364    \n",
       "home_team_long_nameCD Tenerife                  0.249726    \n",
       "home_team_long_nameCF Os Belenenses             0.263835    \n",
       "home_team_long_nameCS Marítimo                  0.016378 *  \n",
       "home_team_long_nameCagliari                     0.321300    \n",
       "home_team_long_nameCardiff City                 0.533362    \n",
       "home_team_long_nameCarpi                        0.683430    \n",
       "home_team_long_nameCatania                      0.075909 .  \n",
       "home_team_long_nameCeltic                       1.62e-06 ***\n",
       "home_team_long_nameCesena                       0.726494    \n",
       "home_team_long_nameChelsea                      0.000649 ***\n",
       "home_team_long_nameChievo Verona                0.774357    \n",
       "home_team_long_nameClub Brugge KV               8.67e-05 ***\n",
       "home_team_long_nameCracovia                     0.607507    \n",
       "home_team_long_nameCrystal Palace               0.181496    \n",
       "home_team_long_nameCórdoba CF                   0.197270    \n",
       "home_team_long_nameDSC Arminia Bielefeld        0.270859    \n",
       "home_team_long_nameDe Graafschap                0.265283    \n",
       "home_team_long_nameDijon FCO                    0.429551    \n",
       "home_team_long_nameDundee FC                    0.328750    \n",
       "home_team_long_nameDundee United                0.019753 *  \n",
       "home_team_long_nameDunfermline Athletic         0.267733    \n",
       "home_team_long_nameES Troyes AC                 0.787578    \n",
       "home_team_long_nameEintracht Braunschweig       0.620820    \n",
       "home_team_long_nameEintracht Frankfurt          0.088765 .  \n",
       "home_team_long_nameElche CF                     0.531227    \n",
       "home_team_long_nameEmpoli                       0.522724    \n",
       "home_team_long_nameEn Avant de Guingamp         0.150411    \n",
       "home_team_long_nameEstoril Praia                0.014529 *  \n",
       "home_team_long_nameEverton                      0.022225 *  \n",
       "home_team_long_nameExcelsior                    0.183958    \n",
       "home_team_long_nameFC Aarau                     0.522489    \n",
       "home_team_long_nameFC Arouca                    0.076550 .  \n",
       "home_team_long_nameFC Augsburg                  0.136036    \n",
       "home_team_long_nameFC Barcelona                 3.96e-05 ***\n",
       "home_team_long_nameFC Basel                     0.002176 ** \n",
       "home_team_long_nameFC Bayern Munich             3.00e-08 ***\n",
       "home_team_long_nameFC Dordrecht                 0.765173    \n",
       "home_team_long_nameFC Energie Cottbus           0.428797    \n",
       "home_team_long_nameFC Groningen                 0.001843 ** \n",
       "home_team_long_nameFC Ingolstadt 04             0.152493    \n",
       "home_team_long_nameFC Lausanne-Sports           0.527590    \n",
       "home_team_long_nameFC Lorient                   0.128341    \n",
       "home_team_long_nameFC Luzern                    0.106014    \n",
       "home_team_long_nameFC Metz                      0.466299    \n",
       "home_team_long_nameFC Nantes                    0.229642    \n",
       "home_team_long_nameFC Paços de Ferreira         0.051406 .  \n",
       "home_team_long_nameFC Penafiel                  0.871007    \n",
       "home_team_long_nameFC Porto                     9.04e-08 ***\n",
       "home_team_long_nameFC Schalke 04                0.000469 ***\n",
       "home_team_long_nameFC Sion                      0.065013 .  \n",
       "home_team_long_nameFC Sochaux-Montbéliard       0.084663 .  \n",
       "home_team_long_nameFC St. Gallen                0.239712    \n",
       "home_team_long_nameFC St. Pauli                 0.988920    \n",
       "home_team_long_nameFC Thun                      0.211834    \n",
       "home_team_long_nameFC Twente                    0.000145 ***\n",
       "home_team_long_nameFC Utrecht                   0.002322 ** \n",
       "home_team_long_nameFC Vaduz                     0.645339    \n",
       "home_team_long_nameFC Volendam                  0.111002    \n",
       "home_team_long_nameFC Zürich                    0.241846    \n",
       "home_team_long_nameFCV Dender EH                0.110002    \n",
       "home_team_long_nameFalkirk                      0.567798    \n",
       "home_team_long_nameFeirense                     0.787384    \n",
       "home_team_long_nameFeyenoord                    4.72e-05 ***\n",
       "home_team_long_nameFiorentina                   0.046978 *  \n",
       "home_team_long_nameFortuna Düsseldorf           0.613828    \n",
       "home_team_long_nameFrosinone                    0.624207    \n",
       "home_team_long_nameFulham                       0.048232 *  \n",
       "home_team_long_nameGFC Ajaccio                  0.733782    \n",
       "home_team_long_nameGKS Bełchatów                0.825437    \n",
       "home_team_long_nameGenoa                        0.088652 .  \n",
       "home_team_long_nameGetafe CF                    0.219538    \n",
       "home_team_long_nameGil Vicente FC               0.277936    \n",
       "home_team_long_nameGirondins de Bordeaux        0.020002 *  \n",
       "home_team_long_nameGo Ahead Eagles              0.106459    \n",
       "home_team_long_nameGranada CF                   0.437432    \n",
       "home_team_long_nameGrasshopper Club Zürich      0.077090 .  \n",
       "home_team_long_nameGrenoble Foot 38             0.709467    \n",
       "home_team_long_nameGórnik Łęczna                0.690585    \n",
       "home_team_long_nameHamburger SV                 0.077509 .  \n",
       "home_team_long_nameHamilton Academical FC       0.276770    \n",
       "home_team_long_nameHannover 96                  0.015543 *  \n",
       "home_team_long_nameHeart of Midlothian          0.005765 ** \n",
       "home_team_long_nameHellas Verona                0.392230    \n",
       "home_team_long_nameHeracles Almelo              0.008153 ** \n",
       "home_team_long_nameHertha BSC Berlin            0.160657    \n",
       "home_team_long_nameHibernian                    0.230792    \n",
       "home_team_long_nameHull City                    0.494814    \n",
       "home_team_long_nameHércules Club de Fútbol      0.376091    \n",
       "home_team_long_nameInter                        0.015850 *  \n",
       "home_team_long_nameInverness Caledonian Thistle 0.098059 .  \n",
       "home_team_long_nameJagiellonia Białystok        0.281626    \n",
       "home_team_long_nameJuventus                     0.002048 ** \n",
       "home_team_long_nameKAA Gent                     0.002992 ** \n",
       "home_team_long_nameKAS Eupen                    0.835861    \n",
       "home_team_long_nameKRC Genk                     0.001949 ** \n",
       "home_team_long_nameKSV Cercle Brugge            0.076137 .  \n",
       "home_team_long_nameKSV Roeselare                0.459939    \n",
       "home_team_long_nameKV Kortrijk                  0.004279 ** \n",
       "home_team_long_nameKV Mechelen                  0.009672 ** \n",
       "home_team_long_nameKV Oostende                  0.014646 *  \n",
       "home_team_long_nameKVC Westerlo                 0.150636    \n",
       "home_team_long_nameKarlsruher SC                0.564859    \n",
       "home_team_long_nameKilmarnock                   0.177797    \n",
       "home_team_long_nameKorona Kielce                0.425437    \n",
       "home_team_long_nameLOSC Lille                   0.003769 ** \n",
       "home_team_long_nameLazio                        0.043638 *  \n",
       "home_team_long_nameLe Havre AC                  0.958036    \n",
       "home_team_long_nameLe Mans FC                   0.345639    \n",
       "home_team_long_nameLecce                        0.773855    \n",
       "home_team_long_nameLech Poznań                  0.068915 .  \n",
       "home_team_long_nameLechia Gdańsk                0.595213    \n",
       "home_team_long_nameLegia Warszawa               0.040197 *  \n",
       "home_team_long_nameLeicester City               0.025270 *  \n",
       "home_team_long_nameLeixões SC                   0.528565    \n",
       "home_team_long_nameLevante UD                   0.182906    \n",
       "home_team_long_nameLierse SK                    0.484707    \n",
       "home_team_long_nameLiverpool                    0.005914 ** \n",
       "home_team_long_nameLivorno                      0.864134    \n",
       "home_team_long_nameLugano                       0.772325    \n",
       "home_team_long_nameManchester City              5.20e-05 ***\n",
       "home_team_long_nameManchester United            3.11e-05 ***\n",
       "home_team_long_nameMiddlesbrough                0.629333    \n",
       "home_team_long_nameMilan                        0.012896 *  \n",
       "home_team_long_nameMontpellier Hérault SC       0.018325 *  \n",
       "home_team_long_nameMoreirense FC                0.471949    \n",
       "home_team_long_nameMotherwell                   0.018112 *  \n",
       "home_team_long_nameMálaga CF                    0.156778    \n",
       "home_team_long_nameN.E.C.                       0.046758 *  \n",
       "home_team_long_nameNAC Breda                    0.021290 *  \n",
       "home_team_long_nameNapoli                       0.007002 ** \n",
       "home_team_long_nameNaval 1° de Maio             0.411627    \n",
       "home_team_long_nameNeuchâtel Xamax              0.361065    \n",
       "home_team_long_nameNewcastle United             0.092450 .  \n",
       "home_team_long_nameNorwich City                 0.169137    \n",
       "home_team_long_nameNovara                       0.729556    \n",
       "home_team_long_nameOGC Nice                     0.062275 .  \n",
       "home_team_long_nameOdra Wodzisław               0.957891    \n",
       "home_team_long_nameOlympique Lyonnais           0.005618 ** \n",
       "home_team_long_nameOlympique de Marseille       0.025821 *  \n",
       "home_team_long_nameOud-Heverlee Leuven          0.132934    \n",
       "home_team_long_nameP. Warszawa                  0.330115    \n",
       "home_team_long_namePEC Zwolle                   0.008242 ** \n",
       "home_team_long_namePSV                          3.79e-07 ***\n",
       "home_team_long_namePalermo                      0.071734 .  \n",
       "home_team_long_nameParis Saint-Germain          0.001221 ** \n",
       "home_team_long_nameParma                        0.184665    \n",
       "home_team_long_namePartick Thistle F.C.         0.339003    \n",
       "home_team_long_namePescara                      0.721859    \n",
       "home_team_long_namePiast Gliwice                0.511731    \n",
       "home_team_long_namePodbeskidzie Bielsko-Biała   0.461646    \n",
       "home_team_long_namePogoń Szczecin               0.679694    \n",
       "home_team_long_namePolonia Bytom                0.856663    \n",
       "home_team_long_namePortimonense                 0.454889    \n",
       "home_team_long_namePortsmouth                   0.308078    \n",
       "home_team_long_nameQueens Park Rangers          0.537423    \n",
       "home_team_long_nameRAEC Mons                    0.103025    \n",
       "home_team_long_nameRC Celta de Vigo             0.248513    \n",
       "home_team_long_nameRC Deportivo de La Coruña    0.341323    \n",
       "home_team_long_nameRC Lens                      0.347307    \n",
       "home_team_long_nameRC Recreativo                0.846221    \n",
       "home_team_long_nameRCD Espanyol                 0.147889    \n",
       "home_team_long_nameRCD Mallorca                 0.069885 .  \n",
       "home_team_long_nameRKC Waalwijk                 0.045808 *  \n",
       "home_team_long_nameRSC Anderlecht               5.32e-05 ***\n",
       "home_team_long_nameRacing Santander             0.818330    \n",
       "home_team_long_nameRangers                      2.21e-05 ***\n",
       "home_team_long_nameRayo Vallecano               0.165780    \n",
       "home_team_long_nameReading                      0.901490    \n",
       "home_team_long_nameReal Betis Balompié          0.466820    \n",
       "home_team_long_nameReal Madrid CF               5.10e-05 ***\n",
       "home_team_long_nameReal Sociedad                0.077627 .  \n",
       "home_team_long_nameReal Sporting de Gijón       0.227785    \n",
       "home_team_long_nameReal Valladolid              0.477468    \n",
       "home_team_long_nameReal Zaragoza                0.276590    \n",
       "home_team_long_nameReggio Calabria              0.440137    \n",
       "home_team_long_nameRio Ave FC                   0.112239    \n",
       "home_team_long_nameRoda JC Kerkrade             0.033958 *  \n",
       "home_team_long_nameRoma                         0.006094 ** \n",
       "home_team_long_nameRoss County FC               0.036444 *  \n",
       "home_team_long_nameRoyal Excel Mouscron         0.160874    \n",
       "home_team_long_nameRuch Chorzów                 0.759188    \n",
       "home_team_long_nameS.C. Olhanense               0.380326    \n",
       "home_team_long_nameSC Bastia                    0.036111 *  \n",
       "home_team_long_nameSC Beira Mar                 0.415878    \n",
       "home_team_long_nameSC Braga                     0.000144 ***\n",
       "home_team_long_nameSC Cambuur                   0.028982 *  \n",
       "home_team_long_nameSC Freiburg                  0.146670    \n",
       "home_team_long_nameSC Heerenveen                0.007005 ** \n",
       "home_team_long_nameSC Paderborn 07              0.969369    \n",
       "home_team_long_nameSD Eibar                     0.413295    \n",
       "home_team_long_nameSL Benfica                   8.17e-08 ***\n",
       "home_team_long_nameSM Caen                      0.261055    \n",
       "home_team_long_nameSV Darmstadt 98              0.331106    \n",
       "home_team_long_nameSV Werder Bremen             0.071781 .  \n",
       "home_team_long_nameSV Zulte-Waregem             0.055916 .  \n",
       "home_team_long_nameSampdoria                    0.224385    \n",
       "home_team_long_nameSassuolo                     0.478887    \n",
       "home_team_long_nameServette FC                  0.560276    \n",
       "home_team_long_nameSevilla FC                   0.019966 *  \n",
       "home_team_long_nameSiena                        0.544893    \n",
       "home_team_long_nameSint-Truidense VV            0.263775    \n",
       "home_team_long_nameSouthampton                  0.031436 *  \n",
       "home_team_long_nameSpVgg Greuther Fürth         0.879252    \n",
       "home_team_long_nameSparta Rotterdam             0.118136    \n",
       "home_team_long_nameSporting CP                  0.000326 ***\n",
       "home_team_long_nameSporting Charleroi           0.069601 .  \n",
       "home_team_long_nameSporting Lokeren             0.100829    \n",
       "home_team_long_nameSt. Johnstone FC             0.034500 *  \n",
       "home_team_long_nameSt. Mirren                   0.334528    \n",
       "home_team_long_nameStade Brestois 29            0.434815    \n",
       "home_team_long_nameStade Rennais FC             0.118240    \n",
       "home_team_long_nameStade de Reims               0.170122    \n",
       "home_team_long_nameStandard de Liège            0.002023 ** \n",
       "home_team_long_nameStoke City                   0.040462 *  \n",
       "home_team_long_nameSunderland                   0.279158    \n",
       "home_team_long_nameSwansea City                 0.109130    \n",
       "home_team_long_nameTSG 1899 Hoffenheim          0.110476    \n",
       "home_team_long_nameTermalica Bruk-Bet Nieciecza 0.965287    \n",
       "home_team_long_nameTondela                      0.984206    \n",
       "home_team_long_nameTorino                       0.362370    \n",
       "home_team_long_nameTottenham Hotspur            0.004623 ** \n",
       "home_team_long_nameToulouse FC                  0.139878    \n",
       "home_team_long_nameTrofense                     0.959772    \n",
       "home_team_long_nameTubize                       0.398068    \n",
       "home_team_long_nameUD Almería                   0.459428    \n",
       "home_team_long_nameUD Las Palmas                0.228586    \n",
       "home_team_long_nameUS Boulogne Cote D'Opale     0.955416    \n",
       "home_team_long_nameUdinese                      0.065617 .  \n",
       "home_team_long_nameUniao da Madeira             0.157007    \n",
       "home_team_long_nameUnião de Leiria, SAD         0.158737    \n",
       "home_team_long_nameVVV-Venlo                    0.066512 .  \n",
       "home_team_long_nameValencia CF                  0.023793 *  \n",
       "home_team_long_nameValenciennes FC              0.097663 .  \n",
       "home_team_long_nameVfB Stuttgart                0.050523 .  \n",
       "home_team_long_nameVfL Bochum                   0.570542    \n",
       "home_team_long_nameVfL Wolfsburg                0.001881 ** \n",
       "home_team_long_nameVillarreal CF                0.029096 *  \n",
       "home_team_long_nameVitesse                      0.008915 ** \n",
       "home_team_long_nameVitória Guimarães            0.024361 *  \n",
       "home_team_long_nameVitória Setúbal              0.126821    \n",
       "home_team_long_nameWaasland-Beveren             0.266197    \n",
       "home_team_long_nameWatford                      0.289252    \n",
       "home_team_long_nameWest Bromwich Albion         0.185240    \n",
       "home_team_long_nameWest Ham United              0.078812 .  \n",
       "home_team_long_nameWidzew Łódź                  0.807982    \n",
       "home_team_long_nameWigan Athletic               0.438437    \n",
       "home_team_long_nameWillem II                    0.134799    \n",
       "home_team_long_nameWisła Kraków                 0.393935    \n",
       "home_team_long_nameWolverhampton Wanderers      0.519489    \n",
       "home_team_long_nameXerez Club Deportivo         0.628466    \n",
       "home_team_long_nameZagłębie Lubin               0.598355    \n",
       "home_team_long_nameZawisza Bydgoszcz            0.505376    \n",
       "home_team_long_nameÉvian Thonon Gaillard FC     0.204460    \n",
       "home_team_long_nameŚląsk Wrocław                0.522832    \n",
       "away_team_long_name1. FC Köln                   0.857560    \n",
       "away_team_long_name1. FC Nürnberg               0.962908    \n",
       "away_team_long_name1. FSV Mainz 05              0.296575    \n",
       "away_team_long_nameAC Ajaccio                   0.781671    \n",
       "away_team_long_nameAC Arles-Avignon             0.275791    \n",
       "away_team_long_nameAC Bellinzona                0.331234    \n",
       "away_team_long_nameADO Den Haag                 0.009987 ** \n",
       "away_team_long_nameAJ Auxerre                   0.124920    \n",
       "away_team_long_nameAS Monaco                    0.002248 ** \n",
       "away_team_long_nameAS Nancy-Lorraine            0.410327    \n",
       "away_team_long_nameAS Saint-Étienne             0.104270    \n",
       "away_team_long_nameAZ                           3.08e-05 ***\n",
       "away_team_long_nameAberdeen                     0.006572 ** \n",
       "away_team_long_nameAcadémica de Coimbra         0.286749    \n",
       "away_team_long_nameAjax                         7.71e-14 ***\n",
       "away_team_long_nameAmadora                      0.495716    \n",
       "away_team_long_nameAngers SCO                   0.595977    \n",
       "away_team_long_nameArka Gdynia                  0.150625    \n",
       "away_team_long_nameArsenal                      2.52e-05 ***\n",
       "away_team_long_nameAston Villa                  0.150950    \n",
       "away_team_long_nameAtalanta                     0.275162    \n",
       "away_team_long_nameAthletic Club de Bilbao      0.345462    \n",
       "away_team_long_nameAtlético Madrid              0.058379 .  \n",
       "away_team_long_nameBSC Young Boys               0.150752    \n",
       "away_team_long_nameBari                         0.223746    \n",
       "away_team_long_nameBayer 04 Leverkusen          0.030894 *  \n",
       "away_team_long_nameBeerschot AC                 0.542660    \n",
       "away_team_long_nameBirmingham City              0.944618    \n",
       "away_team_long_nameBlackburn Rovers             0.813880    \n",
       "away_team_long_nameBlackpool                    0.656047    \n",
       "away_team_long_nameBoavista FC                  0.628840    \n",
       "away_team_long_nameBologna                      0.917097    \n",
       "away_team_long_nameBolton Wanderers             0.589711    \n",
       "away_team_long_nameBorussia Dortmund            0.005060 ** \n",
       "away_team_long_nameBorussia Mönchengladbach     0.824758    \n",
       "away_team_long_nameBournemouth                  0.298721    \n",
       "away_team_long_nameBrescia                      0.240021    \n",
       "away_team_long_nameBurnley                      0.112797    \n",
       "away_team_long_nameCA Osasuna                   0.964804    \n",
       "away_team_long_nameCD Nacional                  0.178963    \n",
       "away_team_long_nameCD Numancia                  0.053650 .  \n",
       "away_team_long_nameCD Tenerife                  0.138656    \n",
       "away_team_long_nameCF Os Belenenses             0.026110 *  \n",
       "away_team_long_nameCS Marítimo                  0.084363 .  \n",
       "away_team_long_nameCagliari                     0.735971    \n",
       "away_team_long_nameCardiff City                 0.483926    \n",
       "away_team_long_nameCarpi                        0.820218    \n",
       "away_team_long_nameCatania                      0.102070    \n",
       "away_team_long_nameCeltic                       9.16e-11 ***\n",
       "away_team_long_nameCesena                       0.048884 *  \n",
       "away_team_long_nameChelsea                      4.33e-05 ***\n",
       "away_team_long_nameChievo Verona                0.853952    \n",
       "away_team_long_nameClub Brugge KV               0.001204 ** \n",
       "away_team_long_nameCracovia                     0.115596    \n",
       "away_team_long_nameCrystal Palace               0.083105 .  \n",
       "away_team_long_nameCórdoba CF                   0.741709    \n",
       "away_team_long_nameDSC Arminia Bielefeld        0.485074    \n",
       "away_team_long_nameDe Graafschap                0.598447    \n",
       "away_team_long_nameDijon FCO                    0.751316    \n",
       "away_team_long_nameDundee FC                    0.154666    \n",
       "away_team_long_nameDundee United                0.000253 ***\n",
       "away_team_long_nameDunfermline Athletic         0.723572    \n",
       "away_team_long_nameES Troyes AC                 0.090925 .  \n",
       "away_team_long_nameEintracht Braunschweig       0.244142    \n",
       "away_team_long_nameEintracht Frankfurt          0.938558    \n",
       "away_team_long_nameElche CF                     0.715011    \n",
       "away_team_long_nameEmpoli                       0.550457    \n",
       "away_team_long_nameEn Avant de Guingamp         0.960417    \n",
       "away_team_long_nameEstoril Praia                0.005847 ** \n",
       "away_team_long_nameEverton                      0.000767 ***\n",
       "away_team_long_nameExcelsior                    0.258438    \n",
       "away_team_long_nameFC Aarau                     0.575374    \n",
       "away_team_long_nameFC Arouca                    0.039681 *  \n",
       "away_team_long_nameFC Augsburg                  0.766710    \n",
       "away_team_long_nameFC Barcelona                 1.13e-05 ***\n",
       "away_team_long_nameFC Basel                     0.000302 ***\n",
       "away_team_long_nameFC Bayern Munich             7.60e-05 ***\n",
       "away_team_long_nameFC Dordrecht                 0.906551    \n",
       "away_team_long_nameFC Energie Cottbus           0.336875    \n",
       "away_team_long_nameFC Groningen                 0.010748 *  \n",
       "away_team_long_nameFC Ingolstadt 04             0.940691    \n",
       "away_team_long_nameFC Lausanne-Sports           0.189232    \n",
       "away_team_long_nameFC Lorient                   0.868503    \n",
       "away_team_long_nameFC Luzern                    0.428637    \n",
       "away_team_long_nameFC Metz                      0.391028    \n",
       "away_team_long_nameFC Nantes                    0.695928    \n",
       "away_team_long_nameFC Paços de Ferreira         0.002816 ** \n",
       "away_team_long_nameFC Penafiel                  0.763050    \n",
       "away_team_long_nameFC Porto                     2.11e-11 ***\n",
       "away_team_long_nameFC Schalke 04                0.316247    \n",
       "away_team_long_nameFC Sion                      0.822189    \n",
       "away_team_long_nameFC Sochaux-Montbéliard       0.593586    \n",
       "away_team_long_nameFC St. Gallen                0.872192    \n",
       "away_team_long_nameFC St. Pauli                 0.394983    \n",
       "away_team_long_nameFC Thun                      0.491788    \n",
       "away_team_long_nameFC Twente                    1.31e-08 ***\n",
       "away_team_long_nameFC Utrecht                   0.006546 ** \n",
       "away_team_long_nameFC Vaduz                     0.697235    \n",
       "away_team_long_nameFC Volendam                  0.294688    \n",
       "away_team_long_nameFC Zürich                    0.162919    \n",
       "away_team_long_nameFCV Dender EH                0.717880    \n",
       "away_team_long_nameFalkirk                      0.201449    \n",
       "away_team_long_nameFeirense                     0.323405    \n",
       "away_team_long_nameFeyenoord                    4.14e-07 ***\n",
       "away_team_long_nameFiorentina                   0.115132    \n",
       "away_team_long_nameFortuna Düsseldorf           0.162649    \n",
       "away_team_long_nameFrosinone                    0.051191 .  \n",
       "away_team_long_nameFulham                       0.343028    \n",
       "away_team_long_nameGFC Ajaccio                  0.893304    \n",
       "away_team_long_nameGKS Bełchatów                0.433238    \n",
       "away_team_long_nameGenoa                        0.563249    \n",
       "away_team_long_nameGetafe CF                    0.991807    \n",
       "away_team_long_nameGil Vicente FC               0.689160    \n",
       "away_team_long_nameGirondins de Bordeaux        0.015067 *  \n",
       "away_team_long_nameGo Ahead Eagles              0.616603    \n",
       "away_team_long_nameGranada CF                   0.819743    \n",
       "away_team_long_nameGrasshopper Club Zürich      0.479240    \n",
       "away_team_long_nameGrenoble Foot 38             0.476026    \n",
       "away_team_long_nameGórnik Łęczna                0.070103 .  \n",
       "away_team_long_nameHamburger SV                 0.756569    \n",
       "away_team_long_nameHamilton Academical FC       0.474031    \n",
       "away_team_long_nameHannover 96                  0.276079    \n",
       "away_team_long_nameHeart of Midlothian          0.011794 *  \n",
       "away_team_long_nameHellas Verona                0.919887    \n",
       "away_team_long_nameHeracles Almelo              0.049798 *  \n",
       "away_team_long_nameHertha BSC Berlin            0.702966    \n",
       "away_team_long_nameHibernian                    0.197623    \n",
       "away_team_long_nameHull City                    0.924514    \n",
       "away_team_long_nameHércules Club de Fútbol      0.319794    \n",
       "away_team_long_nameInter                        0.009780 ** \n",
       "away_team_long_nameInverness Caledonian Thistle 0.004910 ** \n",
       "away_team_long_nameJagiellonia Białystok        0.070596 .  \n",
       "away_team_long_nameJuventus                     2.85e-07 ***\n",
       "away_team_long_nameKAA Gent                     3.85e-06 ***\n",
       "away_team_long_nameKAS Eupen                    0.455083    \n",
       "away_team_long_nameKRC Genk                     0.003076 ** \n",
       "away_team_long_nameKSV Cercle Brugge            0.635715    \n",
       "away_team_long_nameKSV Roeselare                0.937102    \n",
       "away_team_long_nameKV Kortrijk                  0.177098    \n",
       "away_team_long_nameKV Mechelen                  0.219079    \n",
       "away_team_long_nameKV Oostende                  0.064970 .  \n",
       "away_team_long_nameKVC Westerlo                 0.286447    \n",
       "away_team_long_nameKarlsruher SC                0.071552 .  \n",
       "away_team_long_nameKilmarnock                   0.042998 *  \n",
       "away_team_long_nameKorona Kielce                0.128923    \n",
       "away_team_long_nameLOSC Lille                   0.000878 ***\n",
       "away_team_long_nameLazio                        0.420757    \n",
       "away_team_long_nameLe Havre AC                  0.551921    \n",
       "away_team_long_nameLe Mans FC                   0.326951    \n",
       "away_team_long_nameLecce                        0.423545    \n",
       "away_team_long_nameLech Poznań                  0.583075    \n",
       "away_team_long_nameLechia Gdańsk                0.315219    \n",
       "away_team_long_nameLegia Warszawa               0.382201    \n",
       "away_team_long_nameLeicester City               0.030237 *  \n",
       "away_team_long_nameLeixões SC                   0.215129    \n",
       "away_team_long_nameLevante UD                   0.934592    \n",
       "away_team_long_nameLierse SK                    0.723400    \n",
       "away_team_long_nameLiverpool                    0.004432 ** \n",
       "away_team_long_nameLivorno                      0.004950 ** \n",
       "away_team_long_nameLugano                       0.735405    \n",
       "away_team_long_nameManchester City              0.000589 ***\n",
       "away_team_long_nameManchester United            4.52e-06 ***\n",
       "away_team_long_nameMiddlesbrough                0.094899 .  \n",
       "away_team_long_nameMilan                        0.000608 ***\n",
       "away_team_long_nameMontpellier Hérault SC       0.073438 .  \n",
       "away_team_long_nameMoreirense FC                0.078866 .  \n",
       "away_team_long_nameMotherwell                   0.056110 .  \n",
       "away_team_long_nameMálaga CF                    0.472702    \n",
       "away_team_long_nameN.E.C.                       0.009772 ** \n",
       "away_team_long_nameNAC Breda                    0.086494 .  \n",
       "away_team_long_nameNapoli                       0.026155 *  \n",
       "away_team_long_nameNaval 1° de Maio             0.889710    \n",
       "away_team_long_nameNeuchâtel Xamax              0.948495    \n",
       "away_team_long_nameNewcastle United             0.808923    \n",
       "away_team_long_nameNorwich City                 0.706326    \n",
       "away_team_long_nameNovara                       0.074136 .  \n",
       "away_team_long_nameOGC Nice                     0.649145    \n",
       "away_team_long_nameOdra Wodzisław               0.971149    \n",
       "away_team_long_nameOlympique Lyonnais           0.003967 ** \n",
       "away_team_long_nameOlympique de Marseille       9.84e-05 ***\n",
       "away_team_long_nameOud-Heverlee Leuven          0.271758    \n",
       "away_team_long_nameP. Warszawa                  0.544135    \n",
       "away_team_long_namePEC Zwolle                   0.014941 *  \n",
       "away_team_long_namePSV                          8.45e-10 ***\n",
       "away_team_long_namePalermo                      0.424538    \n",
       "away_team_long_nameParis Saint-Germain          1.10e-05 ***\n",
       "away_team_long_nameParma                        0.743513    \n",
       "away_team_long_namePartick Thistle F.C.         0.025369 *  \n",
       "away_team_long_namePescara                      0.065867 .  \n",
       "away_team_long_namePiast Gliwice                0.182199    \n",
       "away_team_long_namePodbeskidzie Bielsko-Biała   0.463370    \n",
       "away_team_long_namePogoń Szczecin               0.664391    \n",
       "away_team_long_namePolonia Bytom                0.149425    \n",
       "away_team_long_namePortimonense                 0.660116    \n",
       "away_team_long_namePortsmouth                   0.954095    \n",
       "away_team_long_nameQueens Park Rangers          0.083523 .  \n",
       "away_team_long_nameRAEC Mons                    0.385954    \n",
       "away_team_long_nameRC Celta de Vigo             0.753552    \n",
       "away_team_long_nameRC Deportivo de La Coruña    0.367200    \n",
       "away_team_long_nameRC Lens                      0.802500    \n",
       "away_team_long_nameRC Recreativo                0.738436    \n",
       "away_team_long_nameRCD Espanyol                 0.906932    \n",
       "away_team_long_nameRCD Mallorca                 0.997253    \n",
       "away_team_long_nameRKC Waalwijk                 0.530565    \n",
       "away_team_long_nameRSC Anderlecht               1.28e-06 ***\n",
       "away_team_long_nameRacing Santander             0.499516    \n",
       "away_team_long_nameRangers                      2.43e-08 ***\n",
       "away_team_long_nameRayo Vallecano               0.797567    \n",
       "away_team_long_nameReading                      0.112386    \n",
       "away_team_long_nameReal Betis Balompié          0.722155    \n",
       "away_team_long_nameReal Madrid CF               0.000481 ***\n",
       "away_team_long_nameReal Sociedad                0.520430    \n",
       "away_team_long_nameReal Sporting de Gijón       0.959948    \n",
       "away_team_long_nameReal Valladolid              0.914965    \n",
       "away_team_long_nameReal Zaragoza                0.969387    \n",
       "away_team_long_nameReggio Calabria              0.271961    \n",
       "away_team_long_nameRio Ave FC                   0.012690 *  \n",
       "away_team_long_nameRoda JC Kerkrade             0.064237 .  \n",
       "away_team_long_nameRoma                         0.003732 ** \n",
       "away_team_long_nameRoss County FC               0.039997 *  \n",
       "away_team_long_nameRoyal Excel Mouscron         0.927363    \n",
       "away_team_long_nameRuch Chorzów                 0.409211    \n",
       "away_team_long_nameS.C. Olhanense               0.019873 *  \n",
       "away_team_long_nameSC Bastia                    0.737542    \n",
       "away_team_long_nameSC Beira Mar                 0.514318    \n",
       "away_team_long_nameSC Braga                     0.000126 ***\n",
       "away_team_long_nameSC Cambuur                   0.224337    \n",
       "away_team_long_nameSC Freiburg                  0.736784    \n",
       "away_team_long_nameSC Heerenveen                2.79e-05 ***\n",
       "away_team_long_nameSC Paderborn 07              0.716254    \n",
       "away_team_long_nameSD Eibar                     0.852328    \n",
       "away_team_long_nameSL Benfica                   9.08e-11 ***\n",
       "away_team_long_nameSM Caen                      0.326146    \n",
       "away_team_long_nameSV Darmstadt 98              0.093180 .  \n",
       "away_team_long_nameSV Werder Bremen             0.821176    \n",
       "away_team_long_nameSV Zulte-Waregem             0.004519 ** \n",
       "away_team_long_nameSampdoria                    0.981048    \n",
       "away_team_long_nameSassuolo                     0.416861    \n",
       "away_team_long_nameServette FC                        NA    \n",
       "away_team_long_nameSevilla FC                   0.243174    \n",
       "away_team_long_nameSiena                        0.063593 .  \n",
       "away_team_long_nameSint-Truidense VV            0.465166    \n",
       "away_team_long_nameSouthampton                  0.051322 .  \n",
       "away_team_long_nameSpVgg Greuther Fürth         0.659965    \n",
       "away_team_long_nameSparta Rotterdam             0.649786    \n",
       "away_team_long_nameSporting CP                  4.24e-09 ***\n",
       "away_team_long_nameSporting Charleroi           0.237757    \n",
       "away_team_long_nameSporting Lokeren             0.003648 ** \n",
       "away_team_long_nameSt. Johnstone FC             0.002984 ** \n",
       "away_team_long_nameSt. Mirren                         NA    \n",
       "away_team_long_nameStade Brestois 29            0.617739    \n",
       "away_team_long_nameStade Rennais FC             0.080887 .  \n",
       "away_team_long_nameStade de Reims               0.901756    \n",
       "away_team_long_nameStandard de Liège            0.014752 *  \n",
       "away_team_long_nameStoke City                   0.491109    \n",
       "away_team_long_nameSunderland                   0.330756    \n",
       "away_team_long_nameSwansea City                 0.376768    \n",
       "away_team_long_nameTSG 1899 Hoffenheim          0.908623    \n",
       "away_team_long_nameTermalica Bruk-Bet Nieciecza 0.519179    \n",
       "away_team_long_nameTondela                      0.814666    \n",
       "away_team_long_nameTorino                       0.586374    \n",
       "away_team_long_nameTottenham Hotspur            0.001344 ** \n",
       "away_team_long_nameToulouse FC                  0.268153    \n",
       "away_team_long_nameTrofense                     0.307574    \n",
       "away_team_long_nameTubize                       0.957996    \n",
       "away_team_long_nameUD Almería                   0.364316    \n",
       "away_team_long_nameUD Las Palmas                0.768236    \n",
       "away_team_long_nameUS Boulogne Cote D'Opale     0.777230    \n",
       "away_team_long_nameUdinese                            NA    \n",
       "away_team_long_nameUniao da Madeira             0.071895 .  \n",
       "away_team_long_nameUnião de Leiria, SAD         0.540158    \n",
       "away_team_long_nameVVV-Venlo                    0.530561    \n",
       "away_team_long_nameValencia CF                  0.134278    \n",
       "away_team_long_nameValenciennes FC              0.787908    \n",
       "away_team_long_nameVfB Stuttgart                0.413293    \n",
       "away_team_long_nameVfL Bochum                   0.751267    \n",
       "away_team_long_nameVfL Wolfsburg                0.342730    \n",
       "away_team_long_nameVillarreal CF                0.227333    \n",
       "away_team_long_nameVitesse                      0.000823 ***\n",
       "away_team_long_nameVitória Guimarães            0.074960 .  \n",
       "away_team_long_nameVitória Setúbal                    NA    \n",
       "away_team_long_nameWaasland-Beveren                   NA    \n",
       "away_team_long_nameWatford                      0.547419    \n",
       "away_team_long_nameWest Bromwich Albion         0.239260    \n",
       "away_team_long_nameWest Ham United              0.263712    \n",
       "away_team_long_nameWidzew Łódź                  0.141165    \n",
       "away_team_long_nameWigan Athletic               0.883463    \n",
       "away_team_long_nameWillem II                          NA    \n",
       "away_team_long_nameWisła Kraków                 0.985440    \n",
       "away_team_long_nameWolverhampton Wanderers            NA    \n",
       "away_team_long_nameXerez Club Deportivo               NA    \n",
       "away_team_long_nameZagłębie Lubin               0.429869    \n",
       "away_team_long_nameZawisza Bydgoszcz            0.184097    \n",
       "away_team_long_nameÉvian Thonon Gaillard FC           NA    \n",
       "away_team_long_nameŚląsk Wrocław                      NA    \n",
       "---\n",
       "Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1\n",
       "\n",
       "(Dispersion parameter for binomial family taken to be 1)\n",
       "\n",
       "    Null deviance: 33643  on 24395  degrees of freedom\n",
       "Residual deviance: 29832  on 23815  degrees of freedom\n",
       "AIC: 30994\n",
       "\n",
       "Number of Fisher Scoring iterations: 11\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(model.team_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>30994.2636046847</li><li>35701.6269679296</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 30994.2636046847\n",
       "\\item 35701.6269679296\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 30994.2636046847\n",
       "2. 35701.6269679296\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 30994.26 35701.63"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c(AIC(model.team_name),BIC(model.team_name))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "Call:\n",
       "glm(formula = home_win ~ home_team_long_name + away_team_long_name, \n",
       "    family = binomial(link = logit), data = data)\n",
       "\n",
       "Coefficients: (10 not defined because of singularities)\n",
       "                                                  Estimate Std. Error z value\n",
       "(Intercept)                                      -0.935089   0.545733  -1.713\n",
       "home_team_long_name1. FC Köln                     0.405631   0.466337   0.870\n",
       "home_team_long_name1. FC Nürnberg                 0.586576   0.472978   1.240\n",
       "home_team_long_name1. FSV Mainz 05                1.054337   0.453129   2.327\n",
       "home_team_long_nameAC Ajaccio                     0.324543   0.663219   0.489\n",
       "home_team_long_nameAC Arles-Avignon              -1.422381   1.196141  -1.189\n",
       "home_team_long_nameAC Bellinzona                  0.419845   0.734284   0.572\n",
       "home_team_long_nameADO Den Haag                   1.352874   0.623549   2.170\n",
       "home_team_long_nameAJ Auxerre                     0.916934   0.642117   1.428\n",
       "home_team_long_nameAS Monaco                      1.134514   0.625688   1.813\n",
       "home_team_long_nameAS Nancy-Lorraine              0.492520   0.636183   0.774\n",
       "home_team_long_nameAS Saint-Étienne               1.281784   0.617110   2.077\n",
       "home_team_long_nameAZ                             2.154621   0.623699   3.455\n",
       "home_team_long_nameAberdeen                       1.392913   0.598471   2.327\n",
       "home_team_long_nameAcadémica de Coimbra           0.555158   0.626323   0.886\n",
       "home_team_long_nameAjax                           3.035638   0.632594   4.799\n",
       "home_team_long_nameAmadora                        1.131894   1.142642   0.991\n",
       "home_team_long_nameAngers SCO                     0.529199   0.783586   0.675\n",
       "home_team_long_nameArka Gdynia                   -0.440833   0.830115  -0.531\n",
       "home_team_long_nameArsenal                        2.051761   0.638148   3.215\n",
       "home_team_long_nameAston Villa                    0.549104   0.639838   0.858\n",
       "home_team_long_nameAtalanta                       0.718330   0.598244   1.201\n",
       "home_team_long_nameAthletic Club de Bilbao        1.420538   0.752969   1.887\n",
       "home_team_long_nameAtlético Madrid                2.112712   0.755952   2.795\n",
       "home_team_long_nameBSC Young Boys                 1.600727   0.671406   2.384\n",
       "home_team_long_nameBari                           0.339002   0.669979   0.506\n",
       "home_team_long_nameBayer 04 Leverkusen            1.446949   0.448977   3.223\n",
       "home_team_long_nameBeerschot AC                   1.254617   0.683731   1.835\n",
       "home_team_long_nameBirmingham City                0.885119   0.701426   1.262\n",
       "home_team_long_nameBlackburn Rovers               0.935919   0.657855   1.423\n",
       "home_team_long_nameBlackpool                      0.391170   0.809634   0.483\n",
       "home_team_long_nameBoavista FC                    1.072247   0.697417   1.537\n",
       "home_team_long_nameBologna                        0.207470   0.601869   0.345\n",
       "home_team_long_nameBolton Wanderers               0.820412   0.658934   1.245\n",
       "home_team_long_nameBorussia Dortmund              1.801096   0.451331   3.991\n",
       "home_team_long_nameBorussia Mönchengladbach       1.362939   0.449314   3.033\n",
       "home_team_long_nameBournemouth                    0.562550   0.814963   0.690\n",
       "home_team_long_nameBrescia                        0.237513   0.761818   0.312\n",
       "home_team_long_nameBurnley                        0.570194   0.714548   0.798\n",
       "home_team_long_nameCA Osasuna                     1.007493   0.758543   1.328\n",
       "home_team_long_nameCD Nacional                    1.657274   0.618979   2.677\n",
       "home_team_long_nameCD Numancia                    1.150838   0.886777   1.298\n",
       "home_team_long_nameCD Tenerife                    0.995068   0.864514   1.151\n",
       "home_team_long_nameCF Os Belenenses               0.717755   0.642359   1.117\n",
       "home_team_long_nameCS Marítimo                    1.488688   0.620186   2.400\n",
       "home_team_long_nameCagliari                       0.593858   0.598774   0.992\n",
       "home_team_long_nameCardiff City                   0.507402   0.814604   0.623\n",
       "home_team_long_nameCarpi                          0.311228   0.763212   0.408\n",
       "home_team_long_nameCatania                        1.068845   0.602188   1.775\n",
       "home_team_long_nameCeltic                         2.933335   0.611604   4.796\n",
       "home_team_long_nameCesena                        -0.230786   0.659778  -0.350\n",
       "home_team_long_nameChelsea                        2.179313   0.639073   3.410\n",
       "home_team_long_nameChievo Verona                  0.171460   0.598086   0.287\n",
       "home_team_long_nameClub Brugge KV                 2.641399   0.672948   3.925\n",
       "home_team_long_nameCracovia                       0.332142   0.646651   0.514\n",
       "home_team_long_nameCrystal Palace                 0.908717   0.680094   1.336\n",
       "home_team_long_nameCórdoba CF                    -1.636084   1.268904  -1.289\n",
       "home_team_long_nameDSC Arminia Bielefeld         -0.974015   0.884594  -1.101\n",
       "home_team_long_nameDe Graafschap                  0.756039   0.678676   1.114\n",
       "home_team_long_nameDijon FCO                      0.616786   0.780782   0.790\n",
       "home_team_long_nameDundee FC                      0.632399   0.647529   0.977\n",
       "home_team_long_nameDundee United                  1.396804   0.599228   2.331\n",
       "home_team_long_nameDunfermline Athletic          -1.306516   1.178848  -1.108\n",
       "home_team_long_nameES Troyes AC                  -0.196576   0.729524  -0.269\n",
       "home_team_long_nameEintracht Braunschweig         0.336598   0.680425   0.495\n",
       "home_team_long_nameEintracht Frankfurt            0.779005   0.457713   1.702\n",
       "home_team_long_nameElche CF                       0.512865   0.819097   0.626\n",
       "home_team_long_nameEmpoli                         0.427759   0.669260   0.639\n",
       "home_team_long_nameEn Avant de Guingamp           0.941664   0.654807   1.438\n",
       "home_team_long_nameEstoril Praia                  1.571170   0.642889   2.444\n",
       "home_team_long_nameEverton                        1.454473   0.636114   2.286\n",
       "home_team_long_nameExcelsior                      0.869680   0.654551   1.329\n",
       "home_team_long_nameFC Aarau                       0.452507   0.707579   0.640\n",
       "home_team_long_nameFC Arouca                      1.174993   0.663440   1.771\n",
       "home_team_long_nameFC Augsburg                    0.703233   0.471742   1.491\n",
       "home_team_long_nameFC Barcelona                   3.174685   0.772419   4.110\n",
       "home_team_long_nameFC Basel                       2.069650   0.675242   3.065\n",
       "home_team_long_nameFC Bayern Munich               2.583440   0.466199   5.541\n",
       "home_team_long_nameFC Dordrecht                   0.262230   0.877918   0.299\n",
       "home_team_long_nameFC Energie Cottbus             0.530679   0.670683   0.791\n",
       "home_team_long_nameFC Groningen                   1.938965   0.622563   3.114\n",
       "home_team_long_nameFC Ingolstadt 04               0.934491   0.653133   1.431\n",
       "home_team_long_nameFC Lausanne-Sports             0.444671   0.703939   0.632\n",
       "home_team_long_nameFC Lorient                     0.939254   0.617656   1.521\n",
       "home_team_long_nameFC Luzern                      1.082396   0.669646   1.616\n",
       "home_team_long_nameFC Metz                        0.565602   0.776377   0.729\n",
       "home_team_long_nameFC Nantes                      0.771435   0.642176   1.201\n",
       "home_team_long_nameFC Paços de Ferreira           1.204684   0.618396   1.948\n",
       "home_team_long_nameFC Penafiel                    0.142028   0.874667   0.162\n",
       "home_team_long_nameFC Porto                       3.436565   0.642935   5.345\n",
       "home_team_long_nameFC Schalke 04                  1.573200   0.449795   3.498\n",
       "home_team_long_nameFC Sion                        1.236733   0.670254   1.845\n",
       "home_team_long_nameFC Sochaux-Montbéliard         1.077463   0.624888   1.724\n",
       "home_team_long_nameFC St. Gallen                  0.797572   0.678376   1.176\n",
       "home_team_long_nameFC St. Pauli                   0.009885   0.711810   0.014\n",
       "home_team_long_nameFC Thun                        0.842645   0.674906   1.249\n",
       "home_team_long_nameFC Twente                      2.375000   0.625126   3.799\n",
       "home_team_long_nameFC Utrecht                     1.896752   0.622781   3.046\n",
       "home_team_long_nameFC Vaduz                      -0.356733   0.775091  -0.460\n",
       "home_team_long_nameFC Volendam                    1.568088   0.983926   1.594\n",
       "home_team_long_nameFC Zürich                      0.784120   0.669967   1.170\n",
       "home_team_long_nameFCV Dender EH                  1.876752   1.174303   1.598\n",
       "home_team_long_nameFalkirk                        0.394135   0.689896   0.571\n",
       "home_team_long_nameFeirense                       0.238016   0.882489   0.270\n",
       "home_team_long_nameFeyenoord                      2.550402   0.626752   4.069\n",
       "home_team_long_nameFiorentina                     1.180913   0.594470   1.986\n",
       "home_team_long_nameFortuna Düsseldorf             0.343709   0.681130   0.505\n",
       "home_team_long_nameFrosinone                      0.372100   0.759547   0.490\n",
       "home_team_long_nameFulham                         1.270141   0.643007   1.975\n",
       "home_team_long_nameGFC Ajaccio                    0.272501   0.801242   0.340\n",
       "home_team_long_nameGKS Bełchatów                  0.163155   0.739738   0.221\n",
       "home_team_long_nameGenoa                          1.011580   0.594155   1.703\n",
       "home_team_long_nameGetafe CF                      0.924370   0.752893   1.228\n",
       "home_team_long_nameGil Vicente FC                 0.712996   0.657159   1.085\n",
       "home_team_long_nameGirondins de Bordeaux          1.435921   0.617254   2.326\n",
       "home_team_long_nameGo Ahead Eagles                1.138044   0.704970   1.614\n",
       "home_team_long_nameGranada CF                     0.597253   0.769123   0.777\n",
       "home_team_long_nameGrasshopper Club Zürich        1.184397   0.669973   1.768\n",
       "home_team_long_nameGrenoble Foot 38               0.263170   0.706360   0.373\n",
       "home_team_long_nameGórnik Łęczna                  0.278656   0.700035   0.398\n",
       "home_team_long_nameHamburger SV                   0.793966   0.449756   1.765\n",
       "home_team_long_nameHamilton Academical FC         0.673750   0.619481   1.088\n",
       "home_team_long_nameHannover 96                    1.085180   0.448521   2.419\n",
       "home_team_long_nameHeart of Midlothian            1.661099   0.601664   2.761\n",
       "home_team_long_nameHellas Verona                  0.544190   0.636048   0.856\n",
       "home_team_long_nameHeracles Almelo                1.647202   0.622601   2.646\n",
       "home_team_long_nameHertha BSC Berlin              0.650112   0.463418   1.403\n",
       "home_team_long_nameHibernian                      0.731493   0.610431   1.198\n",
       "home_team_long_nameHull City                      0.456800   0.669134   0.683\n",
       "home_team_long_nameHércules Club de Fútbol        0.783462   0.885145   0.885\n",
       "home_team_long_nameInter                          1.435638   0.595122   2.412\n",
       "home_team_long_nameInverness Caledonian Thistle   0.997693   0.603078   1.654\n",
       "home_team_long_nameJagiellonia Białystok          0.680204   0.631765   1.077\n",
       "home_team_long_nameJuventus                       1.843579   0.597947   3.083\n",
       "home_team_long_nameKAA Gent                       1.969751   0.663547   2.969\n",
       "home_team_long_nameKAS Eupen                      0.190104   0.917531   0.207\n",
       "home_team_long_nameKRC Genk                       2.061945   0.665598   3.098\n",
       "home_team_long_nameKSV Cercle Brugge              1.194369   0.673433   1.774\n",
       "home_team_long_nameKSV Roeselare                  0.614310   0.831331   0.739\n",
       "home_team_long_nameKV Kortrijk                    1.899105   0.664759   2.857\n",
       "home_team_long_nameKV Mechelen                    1.718213   0.664086   2.587\n",
       "home_team_long_nameKV Oostende                    1.756210   0.719462   2.441\n",
       "home_team_long_nameKVC Westerlo                   0.971127   0.675666   1.437\n",
       "home_team_long_nameKarlsruher SC                  0.398477   0.692234   0.576\n",
       "home_team_long_nameKilmarnock                     0.807681   0.599362   1.348\n",
       "home_team_long_nameKorona Kielce                  0.503565   0.631807   0.797\n",
       "home_team_long_nameLOSC Lille                     1.793123   0.618978   2.897\n",
       "home_team_long_nameLazio                          1.199203   0.594385   2.018\n",
       "home_team_long_nameLe Havre AC                   -0.043583   0.828269  -0.053\n",
       "home_team_long_nameLe Mans FC                     0.669069   0.709449   0.943\n",
       "home_team_long_nameLecce                         -0.188491   0.655994  -0.287\n",
       "home_team_long_nameLech Poznań                    1.142398   0.628044   1.819\n",
       "home_team_long_nameLechia Gdańsk                  0.342864   0.645333   0.531\n",
       "home_team_long_nameLegia Warszawa                 1.297897   0.632591   2.052\n",
       "home_team_long_nameLeicester City                 1.571532   0.702438   2.237\n",
       "home_team_long_nameLeixões SC                     0.498493   0.791011   0.630\n",
       "home_team_long_nameLevante UD                     1.013929   0.761287   1.332\n",
       "home_team_long_nameLierse SK                      0.484152   0.692882   0.699\n",
       "home_team_long_nameLiverpool                      1.752714   0.636768   2.753\n",
       "home_team_long_nameLivorno                       -0.117951   0.689312  -0.171\n",
       "home_team_long_nameLugano                         0.273949   0.946826   0.289\n",
       "home_team_long_nameManchester City                2.603684   0.643423   4.047\n",
       "home_team_long_nameManchester United              2.685218   0.644655   4.165\n",
       "home_team_long_nameMiddlesbrough                  0.393862   0.816013   0.483\n",
       "home_team_long_nameMilan                          1.480338   0.595316   2.487\n",
       "home_team_long_nameMontpellier Hérault SC         1.463468   0.620380   2.359\n",
       "home_team_long_nameMoreirense FC                  0.487912   0.678305   0.719\n",
       "home_team_long_nameMotherwell                     1.417963   0.599986   2.363\n",
       "home_team_long_nameMálaga CF                      1.065864   0.752734   1.416\n",
       "home_team_long_nameN.E.C.                         1.248412   0.627821   1.988\n",
       "home_team_long_nameNAC Breda                      1.447547   0.628604   2.303\n",
       "home_team_long_nameNapoli                         1.607936   0.596251   2.697\n",
       "home_team_long_nameNaval 1° de Maio               0.575418   0.700846   0.821\n",
       "home_team_long_nameNeuchâtel Xamax                0.650241   0.711939   0.913\n",
       "home_team_long_nameNewcastle United               1.078204   0.640791   1.683\n",
       "home_team_long_nameNorwich City                   0.910849   0.662444   1.375\n",
       "home_team_long_nameNovara                        -0.281482   0.814199  -0.346\n",
       "home_team_long_nameOGC Nice                       1.150875   0.617313   1.864\n",
       "home_team_long_nameOdra Wodzisław               -11.929534 225.936753  -0.053\n",
       "home_team_long_nameOlympique Lyonnais             1.711859   0.618158   2.769\n",
       "home_team_long_nameOlympique de Marseille         1.375548   0.617145   2.229\n",
       "home_team_long_nameOud-Heverlee Leuven            1.057151   0.703533   1.503\n",
       "home_team_long_nameP. Warszawa                    0.653573   0.671100   0.974\n",
       "home_team_long_namePEC Zwolle                     1.705621   0.645584   2.642\n",
       "home_team_long_namePSV                            3.236704   0.637264   5.079\n",
       "home_team_long_namePalermo                        1.075824   0.597413   1.801\n",
       "home_team_long_nameParis Saint-Germain            2.005354   0.620099   3.234\n",
       "home_team_long_nameParma                          0.799301   0.602551   1.327\n",
       "home_team_long_namePartick Thistle F.C.           0.617778   0.646119   0.956\n",
       "home_team_long_namePescara                       -0.287231   0.806883  -0.356\n",
       "home_team_long_namePiast Gliwice                  0.419851   0.639876   0.656\n",
       "home_team_long_namePodbeskidzie Bielsko-Biała    -0.486599   0.661014  -0.736\n",
       "home_team_long_namePogoń Szczecin                 0.268578   0.650496   0.413\n",
       "home_team_long_namePolonia Bytom                  0.114204   0.632275   0.181\n",
       "home_team_long_namePortimonense                   0.628117   0.840527   0.747\n",
       "home_team_long_namePortsmouth                     0.722390   0.708737   1.019\n",
       "home_team_long_nameQueens Park Rangers            0.423939   0.687415   0.617\n",
       "home_team_long_nameRAEC Mons                      1.190124   0.729974   1.630\n",
       "home_team_long_nameRC Celta de Vigo               0.893937   0.774663   1.154\n",
       "home_team_long_nameRC Deportivo de La Coruña      0.722541   0.759327   0.952\n",
       "home_team_long_nameRC Lens                        0.621249   0.661025   0.940\n",
       "home_team_long_nameRC Recreativo                 -0.183107   0.944130  -0.194\n",
       "home_team_long_nameRCD Espanyol                   1.088822   0.752453   1.447\n",
       "home_team_long_nameRCD Mallorca                   1.383243   0.763102   1.813\n",
       "home_team_long_nameRKC Waalwijk                   1.298829   0.650340   1.997\n",
       "home_team_long_nameRSC Anderlecht                 2.728387   0.675126   4.041\n",
       "home_team_long_nameRacing Santander               0.178843   0.778615   0.230\n",
       "home_team_long_nameRangers                        2.695128   0.635244   4.243\n",
       "home_team_long_nameRayo Vallecano                 1.061920   0.766236   1.386\n",
       "home_team_long_nameReading                        0.104702   0.845872   0.124\n",
       "home_team_long_nameReal Betis Balompié            0.559833   0.769357   0.728\n",
       "home_team_long_nameReal Madrid CF                 3.124596   0.771303   4.051\n",
       "home_team_long_nameReal Sociedad                  1.342826   0.760970   1.765\n",
       "home_team_long_nameReal Sporting de Gijón         0.923111   0.765379   1.206\n",
       "home_team_long_nameReal Valladolid                0.549178   0.773076   0.710\n",
       "home_team_long_nameReal Zaragoza                  0.839835   0.771899   1.088\n",
       "home_team_long_nameReggio Calabria               -0.659780   0.854679  -0.772\n",
       "home_team_long_nameRio Ave FC                     0.985601   0.620575   1.588\n",
       "home_team_long_nameRoda JC Kerkrade               1.331043   0.627682   2.121\n",
       "home_team_long_nameRoma                           1.635481   0.596307   2.743\n",
       "home_team_long_nameRoss County FC                 1.300994   0.621908   2.092\n",
       "home_team_long_nameRoyal Excel Mouscron           1.012288   0.721960   1.402\n",
       "home_team_long_nameRuch Chorzów                   0.192907   0.629291   0.307\n",
       "home_team_long_nameS.C. Olhanense                 0.566947   0.646244   0.877\n",
       "home_team_long_nameSC Bastia                      1.337405   0.638175   2.096\n",
       "home_team_long_nameSC Beira Mar                   0.557887   0.685708   0.814\n",
       "home_team_long_nameSC Braga                       2.369834   0.623400   3.801\n",
       "home_team_long_nameSC Cambuur                     1.450419   0.664191   2.184\n",
       "home_team_long_nameSC Freiburg                    0.670852   0.462212   1.451\n",
       "home_team_long_nameSC Heerenveen                  1.679024   0.622645   2.697\n",
       "home_team_long_nameSC Paderborn 07                0.027318   0.711411   0.038\n",
       "home_team_long_nameSD Eibar                       0.667669   0.816114   0.818\n",
       "home_team_long_nameSL Benfica                     3.465164   0.646092   5.363\n",
       "home_team_long_nameSM Caen                        0.712216   0.633700   1.124\n",
       "home_team_long_nameSV Darmstadt 98               -0.839965   0.864261  -0.972\n",
       "home_team_long_nameSV Werder Bremen               0.810147   0.449956   1.801\n",
       "home_team_long_nameSV Zulte-Waregem               1.269557   0.664101   1.912\n",
       "home_team_long_nameSampdoria                      0.726500   0.597966   1.215\n",
       "home_team_long_nameSassuolo                       0.451291   0.637332   0.708\n",
       "home_team_long_nameServette FC                    0.437720   0.751538   0.582\n",
       "home_team_long_nameSevilla FC                     1.753736   0.753654   2.327\n",
       "home_team_long_nameSiena                          0.376737   0.622263   0.605\n",
       "home_team_long_nameSint-Truidense VV              0.778464   0.696603   1.118\n",
       "home_team_long_nameSouthampton                    1.422298   0.661072   2.152\n",
       "home_team_long_nameSpVgg Greuther Fürth         -11.430072  75.238580  -0.152\n",
       "home_team_long_nameSparta Rotterdam               1.198078   0.766699   1.563\n",
       "home_team_long_nameSporting CP                    2.227310   0.619770   3.594\n",
       "home_team_long_nameSporting Charleroi             1.218642   0.671613   1.815\n",
       "home_team_long_nameSporting Lokeren               1.091629   0.665283   1.641\n",
       "home_team_long_nameSt. Johnstone FC               1.275212   0.603170   2.114\n",
       "home_team_long_nameSt. Mirren                     0.591888   0.613334   0.965\n",
       "home_team_long_nameStade Brestois 29              0.516108   0.660847   0.781\n",
       "home_team_long_nameStade Rennais FC               0.966142   0.618448   1.562\n",
       "home_team_long_nameStade de Reims                 0.877747   0.639846   1.372\n",
       "home_team_long_nameStandard de Liège              2.057380   0.666493   3.087\n",
       "home_team_long_nameStoke City                     1.303711   0.636266   2.049\n",
       "home_team_long_nameSunderland                     0.691262   0.638749   1.082\n",
       "home_team_long_nameSwansea City                   1.045321   0.652463   1.602\n",
       "home_team_long_nameTSG 1899 Hoffenheim            0.718261   0.450023   1.596\n",
       "home_team_long_nameTermalica Bruk-Bet Nieciecza  -0.035233   0.809573  -0.044\n",
       "home_team_long_nameTondela                       -0.017639   0.891037  -0.020\n",
       "home_team_long_nameTorino                         0.555633   0.610011   0.911\n",
       "home_team_long_nameTottenham Hotspur              1.803918   0.636938   2.832\n",
       "home_team_long_nameToulouse FC                    0.912116   0.617862   1.476\n",
       "home_team_long_nameTrofense                     -11.074516 219.557336  -0.050\n",
       "home_team_long_nameTubize                         0.979647   1.159241   0.845\n",
       "home_team_long_nameUD Almería                     0.566364   0.765575   0.740\n",
       "home_team_long_nameUD Las Palmas                  1.058262   0.878948   1.204\n",
       "home_team_long_nameUS Boulogne Cote D'Opale      -0.046330   0.828699  -0.056\n",
       "home_team_long_nameUdinese                        1.098975   0.596936   1.841\n",
       "home_team_long_nameUniao da Madeira               1.115546   0.788255   1.415\n",
       "home_team_long_nameUnião de Leiria, SAD           0.958335   0.679993   1.409\n",
       "home_team_long_nameVVV-Venlo                      1.194366   0.650895   1.835\n",
       "home_team_long_nameValencia CF                    1.703393   0.753560   2.260\n",
       "home_team_long_nameValenciennes FC                1.035239   0.625034   1.656\n",
       "home_team_long_nameVfB Stuttgart                  0.878410   0.449197   1.956\n",
       "home_team_long_nameVfL Bochum                    -0.352930   0.622172  -0.567\n",
       "home_team_long_nameVfL Wolfsburg                  1.394553   0.448647   3.108\n",
       "home_team_long_nameVillarreal CF                  1.649596   0.755939   2.182\n",
       "home_team_long_nameVitesse                        1.628902   0.622839   2.615\n",
       "home_team_long_nameVitória Guimarães              1.387609   0.616333   2.251\n",
       "home_team_long_nameVitória Setúbal                0.959712   0.628595   1.527\n",
       "home_team_long_nameWaasland-Beveren               0.792933   0.713157   1.112\n",
       "home_team_long_nameWatford                        0.845190   0.797527   1.060\n",
       "home_team_long_nameWest Bromwich Albion           0.850470   0.641965   1.325\n",
       "home_team_long_nameWest Ham United                1.125881   0.640571   1.758\n",
       "home_team_long_nameWidzew Łódź                    0.163801   0.673993   0.243\n",
       "home_team_long_nameWigan Athletic                 0.506887   0.654186   0.775\n",
       "home_team_long_nameWillem II                      0.962738   0.643781   1.495\n",
       "home_team_long_nameWisła Kraków                   0.549564   0.644647   0.853\n",
       "home_team_long_nameWolverhampton Wanderers        0.442786   0.687414   0.644\n",
       "home_team_long_nameXerez Club Deportivo           0.434983   0.898936   0.484\n",
       "home_team_long_nameZagłębie Lubin                 0.351585   0.667439   0.527\n",
       "home_team_long_nameZawisza Bydgoszcz              0.466487   0.700373   0.666\n",
       "home_team_long_nameÉvian Thonon Gaillard FC       0.817163   0.643970   1.269\n",
       "home_team_long_nameŚląsk Wrocław                  0.406558   0.636255   0.639\n",
       "away_team_long_name1. FC Köln                    -0.073951   0.412027  -0.179\n",
       "away_team_long_name1. FC Nürnberg                -0.019611   0.421690  -0.047\n",
       "away_team_long_name1. FSV Mainz 05               -0.422876   0.405128  -1.044\n",
       "away_team_long_nameAC Ajaccio                    -0.099984   0.360770  -0.277\n",
       "away_team_long_nameAC Arles-Avignon               0.606179   0.556218   1.090\n",
       "away_team_long_nameAC Bellinzona                  0.466681   0.480307   0.972\n",
       "away_team_long_nameADO Den Haag                  -0.780620   0.303004  -2.576\n",
       "away_team_long_nameAJ Auxerre                    -0.519880   0.338806  -1.534\n",
       "away_team_long_nameAS Monaco                     -0.962893   0.315148  -3.055\n",
       "away_team_long_nameAS Nancy-Lorraine             -0.262458   0.318780  -0.823\n",
       "away_team_long_nameAS Saint-Étienne              -0.475089   0.292453  -1.624\n",
       "away_team_long_nameAZ                            -1.277189   0.306443  -4.168\n",
       "away_team_long_nameAberdeen                      -0.695834   0.256029  -2.718\n",
       "away_team_long_nameAcadémica de Coimbra          -0.314170   0.294918  -1.065\n",
       "away_team_long_nameAjax                          -2.622125   0.350776  -7.475\n",
       "away_team_long_nameAmadora                       -0.540628   0.793587  -0.681\n",
       "away_team_long_nameAngers SCO                    -0.281121   0.530222  -0.530\n",
       "away_team_long_nameArka Gdynia                    0.884975   0.615709   1.437\n",
       "away_team_long_nameArsenal                       -1.443758   0.342717  -4.213\n",
       "away_team_long_nameAston Villa                   -0.474194   0.330176  -1.436\n",
       "away_team_long_nameAtalanta                       0.272104   0.249350   1.091\n",
       "away_team_long_nameAthletic Club de Bilbao       -0.491520   0.520994  -0.943\n",
       "away_team_long_nameAtlético Madrid               -0.991264   0.523690  -1.893\n",
       "away_team_long_nameBSC Young Boys                -0.569521   0.396359  -1.437\n",
       "away_team_long_nameBari                           0.467668   0.384397   1.217\n",
       "away_team_long_nameBayer 04 Leverkusen           -0.873118   0.404514  -2.158\n",
       "away_team_long_nameBeerschot AC                   0.257467   0.422912   0.609\n",
       "away_team_long_nameBirmingham City                0.031019   0.446527   0.069\n",
       "away_team_long_nameBlackburn Rovers               0.088038   0.373953   0.235\n",
       "away_team_long_nameBlackpool                     -0.249073   0.559240  -0.445\n",
       "away_team_long_nameBoavista FC                   -0.216297   0.447485  -0.483\n",
       "away_team_long_nameBologna                       -0.025782   0.247689  -0.104\n",
       "away_team_long_nameBolton Wanderers               0.202475   0.375472   0.539\n",
       "away_team_long_nameBorussia Dortmund             -1.149814   0.410180  -2.803\n",
       "away_team_long_nameBorussia Mönchengladbach      -0.088425   0.399338  -0.221\n",
       "away_team_long_nameBournemouth                   -0.580616   0.558725  -1.039\n",
       "away_team_long_nameBrescia                        0.616266   0.524510   1.175\n",
       "away_team_long_nameBurnley                        0.753503   0.475172   1.586\n",
       "away_team_long_nameCA Osasuna                     0.023406   0.530447   0.044\n",
       "away_team_long_nameCD Nacional                   -0.399413   0.297193  -1.344\n",
       "away_team_long_nameCD Numancia                    1.575970   0.816714   1.930\n",
       "away_team_long_nameCD Tenerife                    1.127195   0.761199   1.481\n",
       "away_team_long_nameCF Os Belenenses              -0.769109   0.345733  -2.225\n",
       "away_team_long_nameCS Marítimo                   -0.522310   0.302628  -1.726\n",
       "away_team_long_nameCagliari                       0.083682   0.248172   0.337\n",
       "away_team_long_nameCardiff City                   0.409534   0.585047   0.700\n",
       "away_team_long_nameCarpi                          0.114595   0.504237   0.227\n",
       "away_team_long_nameCatania                        0.429628   0.262786   1.635\n",
       "away_team_long_nameCeltic                        -1.857439   0.286635  -6.480\n",
       "away_team_long_nameCesena                         0.666728   0.338509   1.970\n",
       "away_team_long_nameChelsea                       -1.397358   0.341714  -4.089\n",
       "away_team_long_nameChievo Verona                  0.044023   0.239152   0.184\n",
       "away_team_long_nameClub Brugge KV                -1.256381   0.388010  -3.238\n",
       "away_team_long_nameCracovia                       0.560487   0.356197   1.574\n",
       "away_team_long_nameCrystal Palace                -0.692374   0.399536  -1.733\n",
       "away_team_long_nameCórdoba CF                     0.230774   0.700183   0.330\n",
       "away_team_long_nameDSC Arminia Bielefeld         -0.438538   0.628131  -0.698\n",
       "away_team_long_nameDe Graafschap                 -0.203295   0.386026  -0.527\n",
       "away_team_long_nameDijon FCO                      0.168583   0.531967   0.317\n",
       "away_team_long_nameDundee FC                     -0.478868   0.336463  -1.423\n",
       "away_team_long_nameDundee United                 -0.946124   0.258556  -3.659\n",
       "away_team_long_nameDunfermline Athletic           0.187367   0.529749   0.354\n",
       "away_team_long_nameES Troyes AC                   0.736629   0.435737   1.691\n",
       "away_team_long_nameEintracht Braunschweig         0.755818   0.648940   1.165\n",
       "away_team_long_nameEintracht Frankfurt            0.031455   0.408068   0.077\n",
       "away_team_long_nameElche CF                      -0.219772   0.601893  -0.365\n",
       "away_team_long_nameEmpoli                        -0.225409   0.377522  -0.597\n",
       "away_team_long_nameEn Avant de Guingamp          -0.017963   0.361939  -0.050\n",
       "away_team_long_nameEstoril Praia                 -0.982733   0.356549  -2.756\n",
       "away_team_long_nameEverton                       -1.131981   0.336465  -3.364\n",
       "away_team_long_nameExcelsior                     -0.397153   0.351435  -1.130\n",
       "away_team_long_nameFC Aarau                       0.246839   0.440661   0.560\n",
       "away_team_long_nameFC Arouca                     -0.792686   0.385350  -2.057\n",
       "away_team_long_nameFC Augsburg                   -0.125113   0.421710  -0.297\n",
       "away_team_long_nameFC Barcelona                  -2.444695   0.556749  -4.391\n",
       "away_team_long_nameFC Basel                      -1.509829   0.417851  -3.613\n",
       "away_team_long_nameFC Bayern Munich              -1.690969   0.427362  -3.957\n",
       "away_team_long_nameFC Dordrecht                   0.070541   0.600916   0.117\n",
       "away_team_long_nameFC Energie Cottbus             0.632909   0.659034   0.960\n",
       "away_team_long_nameFC Groningen                  -0.771613   0.302501  -2.551\n",
       "away_team_long_nameFC Ingolstadt 04               0.046249   0.621617   0.074\n",
       "away_team_long_nameFC Lausanne-Sports             0.606904   0.462278   1.313\n",
       "away_team_long_nameFC Lorient                    -0.048261   0.291503  -0.166\n",
       "away_team_long_nameFC Luzern                     -0.312739   0.395109  -0.792\n",
       "away_team_long_nameFC Metz                        0.481604   0.561472   0.858\n",
       "away_team_long_nameFC Nantes                     -0.130853   0.334815  -0.391\n",
       "away_team_long_nameFC Paços de Ferreira          -0.906269   0.303386  -2.987\n",
       "away_team_long_nameFC Penafiel                    0.174434   0.578598   0.301\n",
       "away_team_long_nameFC Porto                      -2.420227   0.361338  -6.698\n",
       "away_team_long_nameFC Schalke 04                 -0.400630   0.399750  -1.002\n",
       "away_team_long_nameFC Sion                       -0.088779   0.395049  -0.225\n",
       "away_team_long_nameFC Sochaux-Montbéliard         0.164448   0.308160   0.534\n",
       "away_team_long_nameFC St. Gallen                  0.064883   0.403313   0.161\n",
       "away_team_long_nameFC St. Pauli                   0.538815   0.633442   0.851\n",
       "away_team_long_nameFC Thun                       -0.277655   0.403880  -0.687\n",
       "away_team_long_nameFC Twente                     -1.794475   0.315699  -5.684\n",
       "away_team_long_nameFC Utrecht                    -0.824206   0.303119  -2.719\n",
       "away_team_long_nameFC Vaduz                       0.185960   0.477978   0.389\n",
       "away_team_long_nameFC Volendam                   -1.314739   1.254649  -1.048\n",
       "away_team_long_nameFC Zürich                     -0.552298   0.395821  -1.395\n",
       "away_team_long_nameFCV Dender EH                 -0.365357   1.011246  -0.361\n",
       "away_team_long_nameFalkirk                       -0.499394   0.390935  -1.277\n",
       "away_team_long_nameFeirense                       0.642874   0.651022   0.987\n",
       "away_team_long_nameFeyenoord                     -1.564592   0.309071  -5.062\n",
       "away_team_long_nameFiorentina                    -0.381618   0.242214  -1.576\n",
       "away_team_long_nameFortuna Düsseldorf             0.958876   0.686767   1.396\n",
       "away_team_long_nameFrosinone                      1.094386   0.561259   1.950\n",
       "away_team_long_nameFulham                        -0.326817   0.344672  -0.948\n",
       "away_team_long_nameGFC Ajaccio                   -0.071053   0.529748  -0.134\n",
       "away_team_long_nameGKS Bełchatów                  0.381070   0.486268   0.784\n",
       "away_team_long_nameGenoa                          0.138506   0.239620   0.578\n",
       "away_team_long_nameGetafe CF                      0.005348   0.520804   0.010\n",
       "away_team_long_nameGil Vicente FC                -0.144106   0.360271  -0.400\n",
       "away_team_long_nameGirondins de Bordeaux         -0.715959   0.294541  -2.431\n",
       "away_team_long_nameGo Ahead Eagles               -0.221927   0.443258  -0.501\n",
       "away_team_long_nameGranada CF                     0.122870   0.539198   0.228\n",
       "away_team_long_nameGrasshopper Club Zürich       -0.279035   0.394381  -0.708\n",
       "away_team_long_nameGrenoble Foot 38               0.297173   0.416962   0.713\n",
       "away_team_long_nameGórnik Łęczna                  0.799480   0.441399   1.811\n",
       "away_team_long_nameHamburger SV                  -0.123614   0.398769  -0.310\n",
       "away_team_long_nameHamilton Academical FC        -0.203634   0.284431  -0.716\n",
       "away_team_long_nameHannover 96                    0.436237   0.400522   1.089\n",
       "away_team_long_nameHeart of Midlothian           -0.666983   0.264859  -2.518\n",
       "away_team_long_nameHellas Verona                 -0.032429   0.322431  -0.101\n",
       "away_team_long_nameHeracles Almelo               -0.596129   0.303884  -1.962\n",
       "away_team_long_nameHertha BSC Berlin             -0.157126   0.412057  -0.381\n",
       "away_team_long_nameHibernian                     -0.351372   0.272729  -1.288\n",
       "away_team_long_nameHull City                     -0.035330   0.372883  -0.095\n",
       "away_team_long_nameHércules Club de Fútbol        0.725528   0.729260   0.995\n",
       "away_team_long_nameInter                         -0.632769   0.244924  -2.584\n",
       "away_team_long_nameInverness Caledonian Thistle  -0.744358   0.264624  -2.813\n",
       "away_team_long_nameJagiellonia Białystok          0.575570   0.318334   1.808\n",
       "away_team_long_nameJuventus                      -1.379460   0.268725  -5.133\n",
       "away_team_long_nameKAA Gent                      -1.857148   0.402042  -4.619\n",
       "away_team_long_nameKAS Eupen                     -0.468566   0.627290  -0.747\n",
       "away_team_long_nameKRC Genk                      -1.147159   0.387555  -2.960\n",
       "away_team_long_nameKSV Cercle Brugge             -0.187811   0.396479  -0.474\n",
       "away_team_long_nameKSV Roeselare                 -0.046316   0.586923  -0.079\n",
       "away_team_long_nameKV Kortrijk                   -0.515626   0.382018  -1.350\n",
       "away_team_long_nameKV Mechelen                   -0.470055   0.382475  -1.229\n",
       "away_team_long_nameKV Oostende                   -0.897934   0.486563  -1.845\n",
       "away_team_long_nameKVC Westerlo                  -0.424286   0.398037  -1.066\n",
       "away_team_long_nameKarlsruher SC                  1.287224   0.714347   1.802\n",
       "away_team_long_nameKilmarnock                    -0.513211   0.253597  -2.024\n",
       "away_team_long_nameKorona Kielce                  0.488278   0.321582   1.518\n",
       "away_team_long_nameLOSC Lille                    -0.996716   0.299579  -3.327\n",
       "away_team_long_nameLazio                         -0.193716   0.240608  -0.805\n",
       "away_team_long_nameLe Havre AC                    0.327187   0.550002   0.595\n",
       "away_team_long_nameLe Mans FC                     0.426984   0.435577   0.980\n",
       "away_team_long_nameLecce                          0.262204   0.327638   0.800\n",
       "away_team_long_nameLech Poznań                   -0.181077   0.329892  -0.549\n",
       "away_team_long_nameLechia Gdańsk                  0.356595   0.355057   1.004\n",
       "away_team_long_nameLegia Warszawa                -0.293462   0.335828  -0.874\n",
       "away_team_long_nameLeicester City                -0.984283   0.454221  -2.167\n",
       "away_team_long_nameLeixões SC                     0.725356   0.585161   1.240\n",
       "away_team_long_nameLevante UD                    -0.043536   0.530488  -0.082\n",
       "away_team_long_nameLierse SK                      0.149723   0.423044   0.354\n",
       "away_team_long_nameLiverpool                     -0.950922   0.334167  -2.846\n",
       "away_team_long_nameLivorno                        1.194187   0.424937   2.810\n",
       "away_team_long_nameLugano                         0.247066   0.731084   0.338\n",
       "away_team_long_nameManchester City               -1.157501   0.336830  -3.436\n",
       "away_team_long_nameManchester United             -1.588391   0.346373  -4.586\n",
       "away_team_long_nameMiddlesbrough                  1.075715   0.644100   1.670\n",
       "away_team_long_nameMilan                         -0.855791   0.249649  -3.428\n",
       "away_team_long_nameMontpellier Hérault SC        -0.535419   0.299100  -1.790\n",
       "away_team_long_nameMoreirense FC                 -0.665650   0.378790  -1.757\n",
       "away_team_long_nameMotherwell                    -0.492692   0.257929  -1.910\n",
       "away_team_long_nameMálaga CF                     -0.373755   0.520486  -0.718\n",
       "away_team_long_nameN.E.C.                        -0.809952   0.313475  -2.584\n",
       "away_team_long_nameNAC Breda                     -0.536377   0.312904  -1.714\n",
       "away_team_long_nameNapoli                        -0.542320   0.243860  -2.224\n",
       "away_team_long_nameNaval 1° de Maio              -0.058577   0.422411  -0.139\n",
       "away_team_long_nameNeuchâtel Xamax                0.029300   0.453585   0.065\n",
       "away_team_long_nameNewcastle United              -0.081540   0.337198  -0.242\n",
       "away_team_long_nameNorwich City                   0.141739   0.376171   0.377\n",
       "away_team_long_nameNovara                         1.022869   0.572788   1.786\n",
       "away_team_long_nameOGC Nice                      -0.132407   0.291036  -0.455\n",
       "away_team_long_nameOdra Wodzisław               -11.745178 324.743853  -0.036\n",
       "away_team_long_nameOlympique Lyonnais            -0.854206   0.296524  -2.881\n",
       "away_team_long_nameOlympique de Marseille        -1.178703   0.302650  -3.895\n",
       "away_team_long_nameOud-Heverlee Leuven           -0.487728   0.443783  -1.099\n",
       "away_team_long_nameP. Warszawa                    0.237371   0.391332   0.607\n",
       "away_team_long_namePEC Zwolle                    -0.847870   0.348370  -2.434\n",
       "away_team_long_namePSV                           -1.964656   0.320170  -6.136\n",
       "away_team_long_namePalermo                        0.197971   0.247906   0.799\n",
       "away_team_long_nameParis Saint-Germain           -1.354695   0.308127  -4.397\n",
       "away_team_long_nameParma                          0.084747   0.259004   0.327\n",
       "away_team_long_namePartick Thistle F.C.          -0.759434   0.339680  -2.236\n",
       "away_team_long_namePescara                        1.027769   0.558774   1.839\n",
       "away_team_long_namePiast Gliwice                  0.467704   0.350599   1.334\n",
       "away_team_long_namePodbeskidzie Bielsko-Biała     0.254460   0.347002   0.733\n",
       "away_team_long_namePogoń Szczecin                -0.157986   0.364142  -0.434\n",
       "away_team_long_namePolonia Bytom                  0.465826   0.323139   1.442\n",
       "away_team_long_namePortimonense                  -0.282675   0.642804  -0.440\n",
       "away_team_long_namePortsmouth                     0.025699   0.446424   0.058\n",
       "away_team_long_nameQueens Park Rangers            0.728661   0.421046   1.731\n",
       "away_team_long_nameRAEC Mons                     -0.411563   0.474710  -0.867\n",
       "away_team_long_nameRC Celta de Vigo              -0.172392   0.549090  -0.314\n",
       "away_team_long_nameRC Deportivo de La Coruña     -0.478650   0.530814  -0.902\n",
       "away_team_long_nameRC Lens                        0.091058   0.364068   0.250\n",
       "away_team_long_nameRC Recreativo                 -0.231068   0.691975  -0.334\n",
       "away_team_long_nameRCD Espanyol                   0.060935   0.521215   0.117\n",
       "away_team_long_nameRCD Mallorca                   0.001851   0.537794   0.003\n",
       "away_team_long_nameRKC Waalwijk                  -0.222014   0.354009  -0.627\n",
       "away_team_long_nameRSC Anderlecht                -1.990740   0.411126  -4.842\n",
       "away_team_long_nameRacing Santander              -0.370010   0.547959  -0.675\n",
       "away_team_long_nameRangers                       -2.131147   0.382024  -5.579\n",
       "away_team_long_nameRayo Vallecano                -0.137985   0.537959  -0.256\n",
       "away_team_long_nameReading                        1.023514   0.644709   1.588\n",
       "away_team_long_nameReal Betis Balompié           -0.191161   0.537603  -0.356\n",
       "away_team_long_nameReal Madrid CF                -1.878853   0.538214  -3.491\n",
       "away_team_long_nameReal Sociedad                 -0.340709   0.530135  -0.643\n",
       "away_team_long_nameReal Sporting de Gijón         0.027150   0.540644   0.050\n",
       "away_team_long_nameReal Valladolid                0.058605   0.548847   0.107\n",
       "away_team_long_nameReal Zaragoza                  0.021152   0.551153   0.038\n",
       "away_team_long_nameReggio Calabria                0.571778   0.520481   1.099\n",
       "away_team_long_nameRio Ave FC                    -0.742023   0.297719  -2.492\n",
       "away_team_long_nameRoda JC Kerkrade              -0.579990   0.313418  -1.851\n",
       "away_team_long_nameRoma                          -0.714886   0.246513  -2.900\n",
       "away_team_long_nameRoss County FC                -0.635373   0.309368  -2.054\n",
       "away_team_long_nameRoyal Excel Mouscron          -0.043983   0.482464  -0.091\n",
       "away_team_long_nameRuch Chorzów                   0.262160   0.317661   0.825\n",
       "away_team_long_nameS.C. Olhanense                -0.783886   0.336615  -2.329\n",
       "away_team_long_nameSC Bastia                      0.112693   0.336286   0.335\n",
       "away_team_long_nameSC Beira Mar                  -0.254808   0.390733  -0.652\n",
       "away_team_long_nameSC Braga                      -1.168055   0.304684  -3.834\n",
       "away_team_long_nameSC Cambuur                    -0.463336   0.381322  -1.215\n",
       "away_team_long_nameSC Freiburg                   -0.138239   0.411284  -0.336\n",
       "away_team_long_nameSC Heerenveen                 -1.282117   0.305996  -4.190\n",
       "away_team_long_nameSC Paderborn 07                0.224875   0.618692   0.363\n",
       "away_team_long_nameSD Eibar                      -0.112161   0.602532  -0.186\n",
       "away_team_long_nameSL Benfica                    -2.269193   0.350101  -6.482\n",
       "away_team_long_nameSM Caen                       -0.312700   0.318462  -0.982\n",
       "away_team_long_nameSV Darmstadt 98               -1.100023   0.655222  -1.679\n",
       "away_team_long_nameSV Werder Bremen              -0.090133   0.398760  -0.226\n",
       "away_team_long_nameSV Zulte-Waregem              -1.094105   0.385319  -2.839\n",
       "away_team_long_nameSampdoria                      0.005874   0.247256   0.024\n",
       "away_team_long_nameSassuolo                      -0.262937   0.323863  -0.812\n",
       "away_team_long_nameServette FC                          NA         NA      NA\n",
       "away_team_long_nameSevilla FC                    -0.608756   0.521601  -1.167\n",
       "away_team_long_nameSiena                          0.558263   0.300947   1.855\n",
       "away_team_long_nameSint-Truidense VV             -0.305560   0.418365  -0.730\n",
       "away_team_long_nameSouthampton                   -0.730886   0.375048  -1.949\n",
       "away_team_long_nameSpVgg Greuther Fürth          -0.270860   0.615645  -0.440\n",
       "away_team_long_nameSparta Rotterdam              -0.248959   0.548295  -0.454\n",
       "away_team_long_nameSporting CP                   -1.953429   0.332532  -5.874\n",
       "away_team_long_nameSporting Charleroi            -0.473666   0.401204  -1.181\n",
       "away_team_long_nameSporting Lokeren              -1.119933   0.385245  -2.907\n",
       "away_team_long_nameSt. Johnstone FC              -0.791530   0.266564  -2.969\n",
       "away_team_long_nameSt. Mirren                           NA         NA      NA\n",
       "away_team_long_nameStade Brestois 29              0.182357   0.365403   0.499\n",
       "away_team_long_nameStade Rennais FC              -0.510142   0.292251  -1.746\n",
       "away_team_long_nameStade de Reims                -0.041512   0.336285  -0.123\n",
       "away_team_long_nameStandard de Liège             -0.939314   0.385214  -2.438\n",
       "away_team_long_nameStoke City                    -0.227439   0.330318  -0.689\n",
       "away_team_long_nameSunderland                    -0.321078   0.330126  -0.973\n",
       "away_team_long_nameSwansea City                  -0.315147   0.356555  -0.884\n",
       "away_team_long_nameTSG 1899 Hoffenheim           -0.045730   0.398429  -0.115\n",
       "away_team_long_nameTermalica Bruk-Bet Nieciecza   0.371546   0.576388   0.645\n",
       "away_team_long_nameTondela                       -0.133063   0.567647  -0.234\n",
       "away_team_long_nameTorino                        -0.148219   0.272413  -0.544\n",
       "away_team_long_nameTottenham Hotspur             -1.076829   0.335838  -3.206\n",
       "away_team_long_nameToulouse FC                   -0.322278   0.291042  -1.107\n",
       "away_team_long_nameTrofense                      -1.611831   1.579723  -1.020\n",
       "away_team_long_nameTubize                        -0.050151   0.952193  -0.053\n",
       "away_team_long_nameUD Almería                     0.492909   0.543348   0.907\n",
       "away_team_long_nameUD Las Palmas                  0.206008   0.699084   0.295\n",
       "away_team_long_nameUS Boulogne Cote D'Opale       0.150728   0.532739   0.283\n",
       "away_team_long_nameUdinese                              NA         NA      NA\n",
       "away_team_long_nameUniao da Madeira               1.259062   0.699564   1.800\n",
       "away_team_long_nameUnião de Leiria, SAD          -0.246974   0.403175  -0.613\n",
       "away_team_long_nameVVV-Venlo                      0.232470   0.370677   0.627\n",
       "away_team_long_nameValencia CF                   -0.782159   0.522329  -1.497\n",
       "away_team_long_nameValenciennes FC                0.082692   0.307375   0.269\n",
       "away_team_long_nameVfB Stuttgart                 -0.326433   0.399008  -0.818\n",
       "away_team_long_nameVfL Bochum                    -0.161358   0.509066  -0.317\n",
       "away_team_long_nameVfL Wolfsburg                 -0.379197   0.399666  -0.949\n",
       "away_team_long_nameVillarreal CF                 -0.634420   0.525505  -1.207\n",
       "away_team_long_nameVitesse                       -1.014598   0.303312  -3.345\n",
       "away_team_long_nameVitória Guimarães             -0.530756   0.298059  -1.781\n",
       "away_team_long_nameVitória Setúbal                      NA         NA      NA\n",
       "away_team_long_nameWaasland-Beveren                     NA         NA      NA\n",
       "away_team_long_nameWatford                       -0.336361   0.559080  -0.602\n",
       "away_team_long_nameWest Bromwich Albion          -0.396145   0.336618  -1.177\n",
       "away_team_long_nameWest Ham United               -0.376204   0.336599  -1.118\n",
       "away_team_long_nameWidzew Łódź                    0.558923   0.379840   1.471\n",
       "away_team_long_nameWigan Athletic                -0.052224   0.356284  -0.147\n",
       "away_team_long_nameWillem II                            NA         NA      NA\n",
       "away_team_long_nameWisła Kraków                   0.006509   0.356656   0.018\n",
       "away_team_long_nameWolverhampton Wanderers              NA         NA      NA\n",
       "away_team_long_nameXerez Club Deportivo                 NA         NA      NA\n",
       "away_team_long_nameZagłębie Lubin                 0.308899   0.391301   0.789\n",
       "away_team_long_nameZawisza Bydgoszcz              0.589698   0.443967   1.328\n",
       "away_team_long_nameÉvian Thonon Gaillard FC             NA         NA      NA\n",
       "away_team_long_nameŚląsk Wrocław                        NA         NA      NA\n",
       "                                                Pr(>|z|)    \n",
       "(Intercept)                                     0.086629 .  \n",
       "home_team_long_name1. FC Köln                   0.384398    \n",
       "home_team_long_name1. FC Nürnberg               0.214911    \n",
       "home_team_long_name1. FSV Mainz 05              0.019976 *  \n",
       "home_team_long_nameAC Ajaccio                   0.624598    \n",
       "home_team_long_nameAC Arles-Avignon             0.234384    \n",
       "home_team_long_nameAC Bellinzona                0.567475    \n",
       "home_team_long_nameADO Den Haag                 0.030035 *  \n",
       "home_team_long_nameAJ Auxerre                   0.153296    \n",
       "home_team_long_nameAS Monaco                    0.069797 .  \n",
       "home_team_long_nameAS Nancy-Lorraine            0.438824    \n",
       "home_team_long_nameAS Saint-Étienne             0.037795 *  \n",
       "home_team_long_nameAZ                           0.000551 ***\n",
       "home_team_long_nameAberdeen                     0.019941 *  \n",
       "home_team_long_nameAcadémica de Coimbra         0.375415    \n",
       "home_team_long_nameAjax                         1.60e-06 ***\n",
       "home_team_long_nameAmadora                      0.321884    \n",
       "home_team_long_nameAngers SCO                   0.499450    \n",
       "home_team_long_nameArka Gdynia                  0.595384    \n",
       "home_team_long_nameArsenal                      0.001304 ** \n",
       "home_team_long_nameAston Villa                  0.390786    \n",
       "home_team_long_nameAtalanta                     0.229856    \n",
       "home_team_long_nameAthletic Club de Bilbao      0.059217 .  \n",
       "home_team_long_nameAtlético Madrid              0.005194 ** \n",
       "home_team_long_nameBSC Young Boys               0.017119 *  \n",
       "home_team_long_nameBari                         0.612865    \n",
       "home_team_long_nameBayer 04 Leverkusen          0.001270 ** \n",
       "home_team_long_nameBeerschot AC                 0.066512 .  \n",
       "home_team_long_nameBirmingham City              0.206990    \n",
       "home_team_long_nameBlackburn Rovers             0.154828    \n",
       "home_team_long_nameBlackpool                    0.628994    \n",
       "home_team_long_nameBoavista FC                  0.124182    \n",
       "home_team_long_nameBologna                      0.730313    \n",
       "home_team_long_nameBolton Wanderers             0.213110    \n",
       "home_team_long_nameBorussia Dortmund            6.59e-05 ***\n",
       "home_team_long_nameBorussia Mönchengladbach     0.002418 ** \n",
       "home_team_long_nameBournemouth                  0.490020    \n",
       "home_team_long_nameBrescia                      0.755215    \n",
       "home_team_long_nameBurnley                      0.424883    \n",
       "home_team_long_nameCA Osasuna                   0.184114    \n",
       "home_team_long_nameCD Nacional                  0.007419 ** \n",
       "home_team_long_nameCD Numancia                  0.194364    \n",
       "home_team_long_nameCD Tenerife                  0.249726    \n",
       "home_team_long_nameCF Os Belenenses             0.263835    \n",
       "home_team_long_nameCS Marítimo                  0.016378 *  \n",
       "home_team_long_nameCagliari                     0.321300    \n",
       "home_team_long_nameCardiff City                 0.533362    \n",
       "home_team_long_nameCarpi                        0.683430    \n",
       "home_team_long_nameCatania                      0.075909 .  \n",
       "home_team_long_nameCeltic                       1.62e-06 ***\n",
       "home_team_long_nameCesena                       0.726494    \n",
       "home_team_long_nameChelsea                      0.000649 ***\n",
       "home_team_long_nameChievo Verona                0.774357    \n",
       "home_team_long_nameClub Brugge KV               8.67e-05 ***\n",
       "home_team_long_nameCracovia                     0.607507    \n",
       "home_team_long_nameCrystal Palace               0.181496    \n",
       "home_team_long_nameCórdoba CF                   0.197270    \n",
       "home_team_long_nameDSC Arminia Bielefeld        0.270859    \n",
       "home_team_long_nameDe Graafschap                0.265283    \n",
       "home_team_long_nameDijon FCO                    0.429551    \n",
       "home_team_long_nameDundee FC                    0.328750    \n",
       "home_team_long_nameDundee United                0.019753 *  \n",
       "home_team_long_nameDunfermline Athletic         0.267733    \n",
       "home_team_long_nameES Troyes AC                 0.787578    \n",
       "home_team_long_nameEintracht Braunschweig       0.620820    \n",
       "home_team_long_nameEintracht Frankfurt          0.088765 .  \n",
       "home_team_long_nameElche CF                     0.531227    \n",
       "home_team_long_nameEmpoli                       0.522724    \n",
       "home_team_long_nameEn Avant de Guingamp         0.150411    \n",
       "home_team_long_nameEstoril Praia                0.014529 *  \n",
       "home_team_long_nameEverton                      0.022225 *  \n",
       "home_team_long_nameExcelsior                    0.183958    \n",
       "home_team_long_nameFC Aarau                     0.522489    \n",
       "home_team_long_nameFC Arouca                    0.076550 .  \n",
       "home_team_long_nameFC Augsburg                  0.136036    \n",
       "home_team_long_nameFC Barcelona                 3.96e-05 ***\n",
       "home_team_long_nameFC Basel                     0.002176 ** \n",
       "home_team_long_nameFC Bayern Munich             3.00e-08 ***\n",
       "home_team_long_nameFC Dordrecht                 0.765173    \n",
       "home_team_long_nameFC Energie Cottbus           0.428797    \n",
       "home_team_long_nameFC Groningen                 0.001843 ** \n",
       "home_team_long_nameFC Ingolstadt 04             0.152493    \n",
       "home_team_long_nameFC Lausanne-Sports           0.527590    \n",
       "home_team_long_nameFC Lorient                   0.128341    \n",
       "home_team_long_nameFC Luzern                    0.106014    \n",
       "home_team_long_nameFC Metz                      0.466299    \n",
       "home_team_long_nameFC Nantes                    0.229642    \n",
       "home_team_long_nameFC Paços de Ferreira         0.051406 .  \n",
       "home_team_long_nameFC Penafiel                  0.871007    \n",
       "home_team_long_nameFC Porto                     9.04e-08 ***\n",
       "home_team_long_nameFC Schalke 04                0.000469 ***\n",
       "home_team_long_nameFC Sion                      0.065013 .  \n",
       "home_team_long_nameFC Sochaux-Montbéliard       0.084663 .  \n",
       "home_team_long_nameFC St. Gallen                0.239712    \n",
       "home_team_long_nameFC St. Pauli                 0.988920    \n",
       "home_team_long_nameFC Thun                      0.211834    \n",
       "home_team_long_nameFC Twente                    0.000145 ***\n",
       "home_team_long_nameFC Utrecht                   0.002322 ** \n",
       "home_team_long_nameFC Vaduz                     0.645339    \n",
       "home_team_long_nameFC Volendam                  0.111002    \n",
       "home_team_long_nameFC Zürich                    0.241846    \n",
       "home_team_long_nameFCV Dender EH                0.110002    \n",
       "home_team_long_nameFalkirk                      0.567798    \n",
       "home_team_long_nameFeirense                     0.787384    \n",
       "home_team_long_nameFeyenoord                    4.72e-05 ***\n",
       "home_team_long_nameFiorentina                   0.046978 *  \n",
       "home_team_long_nameFortuna Düsseldorf           0.613828    \n",
       "home_team_long_nameFrosinone                    0.624207    \n",
       "home_team_long_nameFulham                       0.048232 *  \n",
       "home_team_long_nameGFC Ajaccio                  0.733782    \n",
       "home_team_long_nameGKS Bełchatów                0.825437    \n",
       "home_team_long_nameGenoa                        0.088652 .  \n",
       "home_team_long_nameGetafe CF                    0.219538    \n",
       "home_team_long_nameGil Vicente FC               0.277936    \n",
       "home_team_long_nameGirondins de Bordeaux        0.020002 *  \n",
       "home_team_long_nameGo Ahead Eagles              0.106459    \n",
       "home_team_long_nameGranada CF                   0.437432    \n",
       "home_team_long_nameGrasshopper Club Zürich      0.077090 .  \n",
       "home_team_long_nameGrenoble Foot 38             0.709467    \n",
       "home_team_long_nameGórnik Łęczna                0.690585    \n",
       "home_team_long_nameHamburger SV                 0.077509 .  \n",
       "home_team_long_nameHamilton Academical FC       0.276770    \n",
       "home_team_long_nameHannover 96                  0.015543 *  \n",
       "home_team_long_nameHeart of Midlothian          0.005765 ** \n",
       "home_team_long_nameHellas Verona                0.392230    \n",
       "home_team_long_nameHeracles Almelo              0.008153 ** \n",
       "home_team_long_nameHertha BSC Berlin            0.160657    \n",
       "home_team_long_nameHibernian                    0.230792    \n",
       "home_team_long_nameHull City                    0.494814    \n",
       "home_team_long_nameHércules Club de Fútbol      0.376091    \n",
       "home_team_long_nameInter                        0.015850 *  \n",
       "home_team_long_nameInverness Caledonian Thistle 0.098059 .  \n",
       "home_team_long_nameJagiellonia Białystok        0.281626    \n",
       "home_team_long_nameJuventus                     0.002048 ** \n",
       "home_team_long_nameKAA Gent                     0.002992 ** \n",
       "home_team_long_nameKAS Eupen                    0.835861    \n",
       "home_team_long_nameKRC Genk                     0.001949 ** \n",
       "home_team_long_nameKSV Cercle Brugge            0.076137 .  \n",
       "home_team_long_nameKSV Roeselare                0.459939    \n",
       "home_team_long_nameKV Kortrijk                  0.004279 ** \n",
       "home_team_long_nameKV Mechelen                  0.009672 ** \n",
       "home_team_long_nameKV Oostende                  0.014646 *  \n",
       "home_team_long_nameKVC Westerlo                 0.150636    \n",
       "home_team_long_nameKarlsruher SC                0.564859    \n",
       "home_team_long_nameKilmarnock                   0.177797    \n",
       "home_team_long_nameKorona Kielce                0.425437    \n",
       "home_team_long_nameLOSC Lille                   0.003769 ** \n",
       "home_team_long_nameLazio                        0.043638 *  \n",
       "home_team_long_nameLe Havre AC                  0.958036    \n",
       "home_team_long_nameLe Mans FC                   0.345639    \n",
       "home_team_long_nameLecce                        0.773855    \n",
       "home_team_long_nameLech Poznań                  0.068915 .  \n",
       "home_team_long_nameLechia Gdańsk                0.595213    \n",
       "home_team_long_nameLegia Warszawa               0.040197 *  \n",
       "home_team_long_nameLeicester City               0.025270 *  \n",
       "home_team_long_nameLeixões SC                   0.528565    \n",
       "home_team_long_nameLevante UD                   0.182906    \n",
       "home_team_long_nameLierse SK                    0.484707    \n",
       "home_team_long_nameLiverpool                    0.005914 ** \n",
       "home_team_long_nameLivorno                      0.864134    \n",
       "home_team_long_nameLugano                       0.772325    \n",
       "home_team_long_nameManchester City              5.20e-05 ***\n",
       "home_team_long_nameManchester United            3.11e-05 ***\n",
       "home_team_long_nameMiddlesbrough                0.629333    \n",
       "home_team_long_nameMilan                        0.012896 *  \n",
       "home_team_long_nameMontpellier Hérault SC       0.018325 *  \n",
       "home_team_long_nameMoreirense FC                0.471949    \n",
       "home_team_long_nameMotherwell                   0.018112 *  \n",
       "home_team_long_nameMálaga CF                    0.156778    \n",
       "home_team_long_nameN.E.C.                       0.046758 *  \n",
       "home_team_long_nameNAC Breda                    0.021290 *  \n",
       "home_team_long_nameNapoli                       0.007002 ** \n",
       "home_team_long_nameNaval 1° de Maio             0.411627    \n",
       "home_team_long_nameNeuchâtel Xamax              0.361065    \n",
       "home_team_long_nameNewcastle United             0.092450 .  \n",
       "home_team_long_nameNorwich City                 0.169137    \n",
       "home_team_long_nameNovara                       0.729556    \n",
       "home_team_long_nameOGC Nice                     0.062275 .  \n",
       "home_team_long_nameOdra Wodzisław               0.957891    \n",
       "home_team_long_nameOlympique Lyonnais           0.005618 ** \n",
       "home_team_long_nameOlympique de Marseille       0.025821 *  \n",
       "home_team_long_nameOud-Heverlee Leuven          0.132934    \n",
       "home_team_long_nameP. Warszawa                  0.330115    \n",
       "home_team_long_namePEC Zwolle                   0.008242 ** \n",
       "home_team_long_namePSV                          3.79e-07 ***\n",
       "home_team_long_namePalermo                      0.071734 .  \n",
       "home_team_long_nameParis Saint-Germain          0.001221 ** \n",
       "home_team_long_nameParma                        0.184665    \n",
       "home_team_long_namePartick Thistle F.C.         0.339003    \n",
       "home_team_long_namePescara                      0.721859    \n",
       "home_team_long_namePiast Gliwice                0.511731    \n",
       "home_team_long_namePodbeskidzie Bielsko-Biała   0.461646    \n",
       "home_team_long_namePogoń Szczecin               0.679694    \n",
       "home_team_long_namePolonia Bytom                0.856663    \n",
       "home_team_long_namePortimonense                 0.454889    \n",
       "home_team_long_namePortsmouth                   0.308078    \n",
       "home_team_long_nameQueens Park Rangers          0.537423    \n",
       "home_team_long_nameRAEC Mons                    0.103025    \n",
       "home_team_long_nameRC Celta de Vigo             0.248513    \n",
       "home_team_long_nameRC Deportivo de La Coruña    0.341323    \n",
       "home_team_long_nameRC Lens                      0.347307    \n",
       "home_team_long_nameRC Recreativo                0.846221    \n",
       "home_team_long_nameRCD Espanyol                 0.147889    \n",
       "home_team_long_nameRCD Mallorca                 0.069885 .  \n",
       "home_team_long_nameRKC Waalwijk                 0.045808 *  \n",
       "home_team_long_nameRSC Anderlecht               5.32e-05 ***\n",
       "home_team_long_nameRacing Santander             0.818330    \n",
       "home_team_long_nameRangers                      2.21e-05 ***\n",
       "home_team_long_nameRayo Vallecano               0.165780    \n",
       "home_team_long_nameReading                      0.901490    \n",
       "home_team_long_nameReal Betis Balompié          0.466820    \n",
       "home_team_long_nameReal Madrid CF               5.10e-05 ***\n",
       "home_team_long_nameReal Sociedad                0.077627 .  \n",
       "home_team_long_nameReal Sporting de Gijón       0.227785    \n",
       "home_team_long_nameReal Valladolid              0.477468    \n",
       "home_team_long_nameReal Zaragoza                0.276590    \n",
       "home_team_long_nameReggio Calabria              0.440137    \n",
       "home_team_long_nameRio Ave FC                   0.112239    \n",
       "home_team_long_nameRoda JC Kerkrade             0.033958 *  \n",
       "home_team_long_nameRoma                         0.006094 ** \n",
       "home_team_long_nameRoss County FC               0.036444 *  \n",
       "home_team_long_nameRoyal Excel Mouscron         0.160874    \n",
       "home_team_long_nameRuch Chorzów                 0.759188    \n",
       "home_team_long_nameS.C. Olhanense               0.380326    \n",
       "home_team_long_nameSC Bastia                    0.036111 *  \n",
       "home_team_long_nameSC Beira Mar                 0.415878    \n",
       "home_team_long_nameSC Braga                     0.000144 ***\n",
       "home_team_long_nameSC Cambuur                   0.028982 *  \n",
       "home_team_long_nameSC Freiburg                  0.146670    \n",
       "home_team_long_nameSC Heerenveen                0.007005 ** \n",
       "home_team_long_nameSC Paderborn 07              0.969369    \n",
       "home_team_long_nameSD Eibar                     0.413295    \n",
       "home_team_long_nameSL Benfica                   8.17e-08 ***\n",
       "home_team_long_nameSM Caen                      0.261055    \n",
       "home_team_long_nameSV Darmstadt 98              0.331106    \n",
       "home_team_long_nameSV Werder Bremen             0.071781 .  \n",
       "home_team_long_nameSV Zulte-Waregem             0.055916 .  \n",
       "home_team_long_nameSampdoria                    0.224385    \n",
       "home_team_long_nameSassuolo                     0.478887    \n",
       "home_team_long_nameServette FC                  0.560276    \n",
       "home_team_long_nameSevilla FC                   0.019966 *  \n",
       "home_team_long_nameSiena                        0.544893    \n",
       "home_team_long_nameSint-Truidense VV            0.263775    \n",
       "home_team_long_nameSouthampton                  0.031436 *  \n",
       "home_team_long_nameSpVgg Greuther Fürth         0.879252    \n",
       "home_team_long_nameSparta Rotterdam             0.118136    \n",
       "home_team_long_nameSporting CP                  0.000326 ***\n",
       "home_team_long_nameSporting Charleroi           0.069601 .  \n",
       "home_team_long_nameSporting Lokeren             0.100829    \n",
       "home_team_long_nameSt. Johnstone FC             0.034500 *  \n",
       "home_team_long_nameSt. Mirren                   0.334528    \n",
       "home_team_long_nameStade Brestois 29            0.434815    \n",
       "home_team_long_nameStade Rennais FC             0.118240    \n",
       "home_team_long_nameStade de Reims               0.170122    \n",
       "home_team_long_nameStandard de Liège            0.002023 ** \n",
       "home_team_long_nameStoke City                   0.040462 *  \n",
       "home_team_long_nameSunderland                   0.279158    \n",
       "home_team_long_nameSwansea City                 0.109130    \n",
       "home_team_long_nameTSG 1899 Hoffenheim          0.110476    \n",
       "home_team_long_nameTermalica Bruk-Bet Nieciecza 0.965287    \n",
       "home_team_long_nameTondela                      0.984206    \n",
       "home_team_long_nameTorino                       0.362370    \n",
       "home_team_long_nameTottenham Hotspur            0.004623 ** \n",
       "home_team_long_nameToulouse FC                  0.139878    \n",
       "home_team_long_nameTrofense                     0.959772    \n",
       "home_team_long_nameTubize                       0.398068    \n",
       "home_team_long_nameUD Almería                   0.459428    \n",
       "home_team_long_nameUD Las Palmas                0.228586    \n",
       "home_team_long_nameUS Boulogne Cote D'Opale     0.955416    \n",
       "home_team_long_nameUdinese                      0.065617 .  \n",
       "home_team_long_nameUniao da Madeira             0.157007    \n",
       "home_team_long_nameUnião de Leiria, SAD         0.158737    \n",
       "home_team_long_nameVVV-Venlo                    0.066512 .  \n",
       "home_team_long_nameValencia CF                  0.023793 *  \n",
       "home_team_long_nameValenciennes FC              0.097663 .  \n",
       "home_team_long_nameVfB Stuttgart                0.050523 .  \n",
       "home_team_long_nameVfL Bochum                   0.570542    \n",
       "home_team_long_nameVfL Wolfsburg                0.001881 ** \n",
       "home_team_long_nameVillarreal CF                0.029096 *  \n",
       "home_team_long_nameVitesse                      0.008915 ** \n",
       "home_team_long_nameVitória Guimarães            0.024361 *  \n",
       "home_team_long_nameVitória Setúbal              0.126821    \n",
       "home_team_long_nameWaasland-Beveren             0.266197    \n",
       "home_team_long_nameWatford                      0.289252    \n",
       "home_team_long_nameWest Bromwich Albion         0.185240    \n",
       "home_team_long_nameWest Ham United              0.078812 .  \n",
       "home_team_long_nameWidzew Łódź                  0.807982    \n",
       "home_team_long_nameWigan Athletic               0.438437    \n",
       "home_team_long_nameWillem II                    0.134799    \n",
       "home_team_long_nameWisła Kraków                 0.393935    \n",
       "home_team_long_nameWolverhampton Wanderers      0.519489    \n",
       "home_team_long_nameXerez Club Deportivo         0.628466    \n",
       "home_team_long_nameZagłębie Lubin               0.598355    \n",
       "home_team_long_nameZawisza Bydgoszcz            0.505376    \n",
       "home_team_long_nameÉvian Thonon Gaillard FC     0.204460    \n",
       "home_team_long_nameŚląsk Wrocław                0.522832    \n",
       "away_team_long_name1. FC Köln                   0.857560    \n",
       "away_team_long_name1. FC Nürnberg               0.962908    \n",
       "away_team_long_name1. FSV Mainz 05              0.296575    \n",
       "away_team_long_nameAC Ajaccio                   0.781671    \n",
       "away_team_long_nameAC Arles-Avignon             0.275791    \n",
       "away_team_long_nameAC Bellinzona                0.331234    \n",
       "away_team_long_nameADO Den Haag                 0.009987 ** \n",
       "away_team_long_nameAJ Auxerre                   0.124920    \n",
       "away_team_long_nameAS Monaco                    0.002248 ** \n",
       "away_team_long_nameAS Nancy-Lorraine            0.410327    \n",
       "away_team_long_nameAS Saint-Étienne             0.104270    \n",
       "away_team_long_nameAZ                           3.08e-05 ***\n",
       "away_team_long_nameAberdeen                     0.006572 ** \n",
       "away_team_long_nameAcadémica de Coimbra         0.286749    \n",
       "away_team_long_nameAjax                         7.71e-14 ***\n",
       "away_team_long_nameAmadora                      0.495716    \n",
       "away_team_long_nameAngers SCO                   0.595977    \n",
       "away_team_long_nameArka Gdynia                  0.150625    \n",
       "away_team_long_nameArsenal                      2.52e-05 ***\n",
       "away_team_long_nameAston Villa                  0.150950    \n",
       "away_team_long_nameAtalanta                     0.275162    \n",
       "away_team_long_nameAthletic Club de Bilbao      0.345462    \n",
       "away_team_long_nameAtlético Madrid              0.058379 .  \n",
       "away_team_long_nameBSC Young Boys               0.150752    \n",
       "away_team_long_nameBari                         0.223746    \n",
       "away_team_long_nameBayer 04 Leverkusen          0.030894 *  \n",
       "away_team_long_nameBeerschot AC                 0.542660    \n",
       "away_team_long_nameBirmingham City              0.944618    \n",
       "away_team_long_nameBlackburn Rovers             0.813880    \n",
       "away_team_long_nameBlackpool                    0.656047    \n",
       "away_team_long_nameBoavista FC                  0.628840    \n",
       "away_team_long_nameBologna                      0.917097    \n",
       "away_team_long_nameBolton Wanderers             0.589711    \n",
       "away_team_long_nameBorussia Dortmund            0.005060 ** \n",
       "away_team_long_nameBorussia Mönchengladbach     0.824758    \n",
       "away_team_long_nameBournemouth                  0.298721    \n",
       "away_team_long_nameBrescia                      0.240021    \n",
       "away_team_long_nameBurnley                      0.112797    \n",
       "away_team_long_nameCA Osasuna                   0.964804    \n",
       "away_team_long_nameCD Nacional                  0.178963    \n",
       "away_team_long_nameCD Numancia                  0.053650 .  \n",
       "away_team_long_nameCD Tenerife                  0.138656    \n",
       "away_team_long_nameCF Os Belenenses             0.026110 *  \n",
       "away_team_long_nameCS Marítimo                  0.084363 .  \n",
       "away_team_long_nameCagliari                     0.735971    \n",
       "away_team_long_nameCardiff City                 0.483926    \n",
       "away_team_long_nameCarpi                        0.820218    \n",
       "away_team_long_nameCatania                      0.102070    \n",
       "away_team_long_nameCeltic                       9.16e-11 ***\n",
       "away_team_long_nameCesena                       0.048884 *  \n",
       "away_team_long_nameChelsea                      4.33e-05 ***\n",
       "away_team_long_nameChievo Verona                0.853952    \n",
       "away_team_long_nameClub Brugge KV               0.001204 ** \n",
       "away_team_long_nameCracovia                     0.115596    \n",
       "away_team_long_nameCrystal Palace               0.083105 .  \n",
       "away_team_long_nameCórdoba CF                   0.741709    \n",
       "away_team_long_nameDSC Arminia Bielefeld        0.485074    \n",
       "away_team_long_nameDe Graafschap                0.598447    \n",
       "away_team_long_nameDijon FCO                    0.751316    \n",
       "away_team_long_nameDundee FC                    0.154666    \n",
       "away_team_long_nameDundee United                0.000253 ***\n",
       "away_team_long_nameDunfermline Athletic         0.723572    \n",
       "away_team_long_nameES Troyes AC                 0.090925 .  \n",
       "away_team_long_nameEintracht Braunschweig       0.244142    \n",
       "away_team_long_nameEintracht Frankfurt          0.938558    \n",
       "away_team_long_nameElche CF                     0.715011    \n",
       "away_team_long_nameEmpoli                       0.550457    \n",
       "away_team_long_nameEn Avant de Guingamp         0.960417    \n",
       "away_team_long_nameEstoril Praia                0.005847 ** \n",
       "away_team_long_nameEverton                      0.000767 ***\n",
       "away_team_long_nameExcelsior                    0.258438    \n",
       "away_team_long_nameFC Aarau                     0.575374    \n",
       "away_team_long_nameFC Arouca                    0.039681 *  \n",
       "away_team_long_nameFC Augsburg                  0.766710    \n",
       "away_team_long_nameFC Barcelona                 1.13e-05 ***\n",
       "away_team_long_nameFC Basel                     0.000302 ***\n",
       "away_team_long_nameFC Bayern Munich             7.60e-05 ***\n",
       "away_team_long_nameFC Dordrecht                 0.906551    \n",
       "away_team_long_nameFC Energie Cottbus           0.336875    \n",
       "away_team_long_nameFC Groningen                 0.010748 *  \n",
       "away_team_long_nameFC Ingolstadt 04             0.940691    \n",
       "away_team_long_nameFC Lausanne-Sports           0.189232    \n",
       "away_team_long_nameFC Lorient                   0.868503    \n",
       "away_team_long_nameFC Luzern                    0.428637    \n",
       "away_team_long_nameFC Metz                      0.391028    \n",
       "away_team_long_nameFC Nantes                    0.695928    \n",
       "away_team_long_nameFC Paços de Ferreira         0.002816 ** \n",
       "away_team_long_nameFC Penafiel                  0.763050    \n",
       "away_team_long_nameFC Porto                     2.11e-11 ***\n",
       "away_team_long_nameFC Schalke 04                0.316247    \n",
       "away_team_long_nameFC Sion                      0.822189    \n",
       "away_team_long_nameFC Sochaux-Montbéliard       0.593586    \n",
       "away_team_long_nameFC St. Gallen                0.872192    \n",
       "away_team_long_nameFC St. Pauli                 0.394983    \n",
       "away_team_long_nameFC Thun                      0.491788    \n",
       "away_team_long_nameFC Twente                    1.31e-08 ***\n",
       "away_team_long_nameFC Utrecht                   0.006546 ** \n",
       "away_team_long_nameFC Vaduz                     0.697235    \n",
       "away_team_long_nameFC Volendam                  0.294688    \n",
       "away_team_long_nameFC Zürich                    0.162919    \n",
       "away_team_long_nameFCV Dender EH                0.717880    \n",
       "away_team_long_nameFalkirk                      0.201449    \n",
       "away_team_long_nameFeirense                     0.323405    \n",
       "away_team_long_nameFeyenoord                    4.14e-07 ***\n",
       "away_team_long_nameFiorentina                   0.115132    \n",
       "away_team_long_nameFortuna Düsseldorf           0.162649    \n",
       "away_team_long_nameFrosinone                    0.051191 .  \n",
       "away_team_long_nameFulham                       0.343028    \n",
       "away_team_long_nameGFC Ajaccio                  0.893304    \n",
       "away_team_long_nameGKS Bełchatów                0.433238    \n",
       "away_team_long_nameGenoa                        0.563249    \n",
       "away_team_long_nameGetafe CF                    0.991807    \n",
       "away_team_long_nameGil Vicente FC               0.689160    \n",
       "away_team_long_nameGirondins de Bordeaux        0.015067 *  \n",
       "away_team_long_nameGo Ahead Eagles              0.616603    \n",
       "away_team_long_nameGranada CF                   0.819743    \n",
       "away_team_long_nameGrasshopper Club Zürich      0.479240    \n",
       "away_team_long_nameGrenoble Foot 38             0.476026    \n",
       "away_team_long_nameGórnik Łęczna                0.070103 .  \n",
       "away_team_long_nameHamburger SV                 0.756569    \n",
       "away_team_long_nameHamilton Academical FC       0.474031    \n",
       "away_team_long_nameHannover 96                  0.276079    \n",
       "away_team_long_nameHeart of Midlothian          0.011794 *  \n",
       "away_team_long_nameHellas Verona                0.919887    \n",
       "away_team_long_nameHeracles Almelo              0.049798 *  \n",
       "away_team_long_nameHertha BSC Berlin            0.702966    \n",
       "away_team_long_nameHibernian                    0.197623    \n",
       "away_team_long_nameHull City                    0.924514    \n",
       "away_team_long_nameHércules Club de Fútbol      0.319794    \n",
       "away_team_long_nameInter                        0.009780 ** \n",
       "away_team_long_nameInverness Caledonian Thistle 0.004910 ** \n",
       "away_team_long_nameJagiellonia Białystok        0.070596 .  \n",
       "away_team_long_nameJuventus                     2.85e-07 ***\n",
       "away_team_long_nameKAA Gent                     3.85e-06 ***\n",
       "away_team_long_nameKAS Eupen                    0.455083    \n",
       "away_team_long_nameKRC Genk                     0.003076 ** \n",
       "away_team_long_nameKSV Cercle Brugge            0.635715    \n",
       "away_team_long_nameKSV Roeselare                0.937102    \n",
       "away_team_long_nameKV Kortrijk                  0.177098    \n",
       "away_team_long_nameKV Mechelen                  0.219079    \n",
       "away_team_long_nameKV Oostende                  0.064970 .  \n",
       "away_team_long_nameKVC Westerlo                 0.286447    \n",
       "away_team_long_nameKarlsruher SC                0.071552 .  \n",
       "away_team_long_nameKilmarnock                   0.042998 *  \n",
       "away_team_long_nameKorona Kielce                0.128923    \n",
       "away_team_long_nameLOSC Lille                   0.000878 ***\n",
       "away_team_long_nameLazio                        0.420757    \n",
       "away_team_long_nameLe Havre AC                  0.551921    \n",
       "away_team_long_nameLe Mans FC                   0.326951    \n",
       "away_team_long_nameLecce                        0.423545    \n",
       "away_team_long_nameLech Poznań                  0.583075    \n",
       "away_team_long_nameLechia Gdańsk                0.315219    \n",
       "away_team_long_nameLegia Warszawa               0.382201    \n",
       "away_team_long_nameLeicester City               0.030237 *  \n",
       "away_team_long_nameLeixões SC                   0.215129    \n",
       "away_team_long_nameLevante UD                   0.934592    \n",
       "away_team_long_nameLierse SK                    0.723400    \n",
       "away_team_long_nameLiverpool                    0.004432 ** \n",
       "away_team_long_nameLivorno                      0.004950 ** \n",
       "away_team_long_nameLugano                       0.735405    \n",
       "away_team_long_nameManchester City              0.000589 ***\n",
       "away_team_long_nameManchester United            4.52e-06 ***\n",
       "away_team_long_nameMiddlesbrough                0.094899 .  \n",
       "away_team_long_nameMilan                        0.000608 ***\n",
       "away_team_long_nameMontpellier Hérault SC       0.073438 .  \n",
       "away_team_long_nameMoreirense FC                0.078866 .  \n",
       "away_team_long_nameMotherwell                   0.056110 .  \n",
       "away_team_long_nameMálaga CF                    0.472702    \n",
       "away_team_long_nameN.E.C.                       0.009772 ** \n",
       "away_team_long_nameNAC Breda                    0.086494 .  \n",
       "away_team_long_nameNapoli                       0.026155 *  \n",
       "away_team_long_nameNaval 1° de Maio             0.889710    \n",
       "away_team_long_nameNeuchâtel Xamax              0.948495    \n",
       "away_team_long_nameNewcastle United             0.808923    \n",
       "away_team_long_nameNorwich City                 0.706326    \n",
       "away_team_long_nameNovara                       0.074136 .  \n",
       "away_team_long_nameOGC Nice                     0.649145    \n",
       "away_team_long_nameOdra Wodzisław               0.971149    \n",
       "away_team_long_nameOlympique Lyonnais           0.003967 ** \n",
       "away_team_long_nameOlympique de Marseille       9.84e-05 ***\n",
       "away_team_long_nameOud-Heverlee Leuven          0.271758    \n",
       "away_team_long_nameP. Warszawa                  0.544135    \n",
       "away_team_long_namePEC Zwolle                   0.014941 *  \n",
       "away_team_long_namePSV                          8.45e-10 ***\n",
       "away_team_long_namePalermo                      0.424538    \n",
       "away_team_long_nameParis Saint-Germain          1.10e-05 ***\n",
       "away_team_long_nameParma                        0.743513    \n",
       "away_team_long_namePartick Thistle F.C.         0.025369 *  \n",
       "away_team_long_namePescara                      0.065867 .  \n",
       "away_team_long_namePiast Gliwice                0.182199    \n",
       "away_team_long_namePodbeskidzie Bielsko-Biała   0.463370    \n",
       "away_team_long_namePogoń Szczecin               0.664391    \n",
       "away_team_long_namePolonia Bytom                0.149425    \n",
       "away_team_long_namePortimonense                 0.660116    \n",
       "away_team_long_namePortsmouth                   0.954095    \n",
       "away_team_long_nameQueens Park Rangers          0.083523 .  \n",
       "away_team_long_nameRAEC Mons                    0.385954    \n",
       "away_team_long_nameRC Celta de Vigo             0.753552    \n",
       "away_team_long_nameRC Deportivo de La Coruña    0.367200    \n",
       "away_team_long_nameRC Lens                      0.802500    \n",
       "away_team_long_nameRC Recreativo                0.738436    \n",
       "away_team_long_nameRCD Espanyol                 0.906932    \n",
       "away_team_long_nameRCD Mallorca                 0.997253    \n",
       "away_team_long_nameRKC Waalwijk                 0.530565    \n",
       "away_team_long_nameRSC Anderlecht               1.28e-06 ***\n",
       "away_team_long_nameRacing Santander             0.499516    \n",
       "away_team_long_nameRangers                      2.43e-08 ***\n",
       "away_team_long_nameRayo Vallecano               0.797567    \n",
       "away_team_long_nameReading                      0.112386    \n",
       "away_team_long_nameReal Betis Balompié          0.722155    \n",
       "away_team_long_nameReal Madrid CF               0.000481 ***\n",
       "away_team_long_nameReal Sociedad                0.520430    \n",
       "away_team_long_nameReal Sporting de Gijón       0.959948    \n",
       "away_team_long_nameReal Valladolid              0.914965    \n",
       "away_team_long_nameReal Zaragoza                0.969387    \n",
       "away_team_long_nameReggio Calabria              0.271961    \n",
       "away_team_long_nameRio Ave FC                   0.012690 *  \n",
       "away_team_long_nameRoda JC Kerkrade             0.064237 .  \n",
       "away_team_long_nameRoma                         0.003732 ** \n",
       "away_team_long_nameRoss County FC               0.039997 *  \n",
       "away_team_long_nameRoyal Excel Mouscron         0.927363    \n",
       "away_team_long_nameRuch Chorzów                 0.409211    \n",
       "away_team_long_nameS.C. Olhanense               0.019873 *  \n",
       "away_team_long_nameSC Bastia                    0.737542    \n",
       "away_team_long_nameSC Beira Mar                 0.514318    \n",
       "away_team_long_nameSC Braga                     0.000126 ***\n",
       "away_team_long_nameSC Cambuur                   0.224337    \n",
       "away_team_long_nameSC Freiburg                  0.736784    \n",
       "away_team_long_nameSC Heerenveen                2.79e-05 ***\n",
       "away_team_long_nameSC Paderborn 07              0.716254    \n",
       "away_team_long_nameSD Eibar                     0.852328    \n",
       "away_team_long_nameSL Benfica                   9.08e-11 ***\n",
       "away_team_long_nameSM Caen                      0.326146    \n",
       "away_team_long_nameSV Darmstadt 98              0.093180 .  \n",
       "away_team_long_nameSV Werder Bremen             0.821176    \n",
       "away_team_long_nameSV Zulte-Waregem             0.004519 ** \n",
       "away_team_long_nameSampdoria                    0.981048    \n",
       "away_team_long_nameSassuolo                     0.416861    \n",
       "away_team_long_nameServette FC                        NA    \n",
       "away_team_long_nameSevilla FC                   0.243174    \n",
       "away_team_long_nameSiena                        0.063593 .  \n",
       "away_team_long_nameSint-Truidense VV            0.465166    \n",
       "away_team_long_nameSouthampton                  0.051322 .  \n",
       "away_team_long_nameSpVgg Greuther Fürth         0.659965    \n",
       "away_team_long_nameSparta Rotterdam             0.649786    \n",
       "away_team_long_nameSporting CP                  4.24e-09 ***\n",
       "away_team_long_nameSporting Charleroi           0.237757    \n",
       "away_team_long_nameSporting Lokeren             0.003648 ** \n",
       "away_team_long_nameSt. Johnstone FC             0.002984 ** \n",
       "away_team_long_nameSt. Mirren                         NA    \n",
       "away_team_long_nameStade Brestois 29            0.617739    \n",
       "away_team_long_nameStade Rennais FC             0.080887 .  \n",
       "away_team_long_nameStade de Reims               0.901756    \n",
       "away_team_long_nameStandard de Liège            0.014752 *  \n",
       "away_team_long_nameStoke City                   0.491109    \n",
       "away_team_long_nameSunderland                   0.330756    \n",
       "away_team_long_nameSwansea City                 0.376768    \n",
       "away_team_long_nameTSG 1899 Hoffenheim          0.908623    \n",
       "away_team_long_nameTermalica Bruk-Bet Nieciecza 0.519179    \n",
       "away_team_long_nameTondela                      0.814666    \n",
       "away_team_long_nameTorino                       0.586374    \n",
       "away_team_long_nameTottenham Hotspur            0.001344 ** \n",
       "away_team_long_nameToulouse FC                  0.268153    \n",
       "away_team_long_nameTrofense                     0.307574    \n",
       "away_team_long_nameTubize                       0.957996    \n",
       "away_team_long_nameUD Almería                   0.364316    \n",
       "away_team_long_nameUD Las Palmas                0.768236    \n",
       "away_team_long_nameUS Boulogne Cote D'Opale     0.777230    \n",
       "away_team_long_nameUdinese                            NA    \n",
       "away_team_long_nameUniao da Madeira             0.071895 .  \n",
       "away_team_long_nameUnião de Leiria, SAD         0.540158    \n",
       "away_team_long_nameVVV-Venlo                    0.530561    \n",
       "away_team_long_nameValencia CF                  0.134278    \n",
       "away_team_long_nameValenciennes FC              0.787908    \n",
       "away_team_long_nameVfB Stuttgart                0.413293    \n",
       "away_team_long_nameVfL Bochum                   0.751267    \n",
       "away_team_long_nameVfL Wolfsburg                0.342730    \n",
       "away_team_long_nameVillarreal CF                0.227333    \n",
       "away_team_long_nameVitesse                      0.000823 ***\n",
       "away_team_long_nameVitória Guimarães            0.074960 .  \n",
       "away_team_long_nameVitória Setúbal                    NA    \n",
       "away_team_long_nameWaasland-Beveren                   NA    \n",
       "away_team_long_nameWatford                      0.547419    \n",
       "away_team_long_nameWest Bromwich Albion         0.239260    \n",
       "away_team_long_nameWest Ham United              0.263712    \n",
       "away_team_long_nameWidzew Łódź                  0.141165    \n",
       "away_team_long_nameWigan Athletic               0.883463    \n",
       "away_team_long_nameWillem II                          NA    \n",
       "away_team_long_nameWisła Kraków                 0.985440    \n",
       "away_team_long_nameWolverhampton Wanderers            NA    \n",
       "away_team_long_nameXerez Club Deportivo               NA    \n",
       "away_team_long_nameZagłębie Lubin               0.429869    \n",
       "away_team_long_nameZawisza Bydgoszcz            0.184097    \n",
       "away_team_long_nameÉvian Thonon Gaillard FC           NA    \n",
       "away_team_long_nameŚląsk Wrocław                      NA    \n",
       "---\n",
       "Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1\n",
       "\n",
       "(Dispersion parameter for binomial family taken to be 1)\n",
       "\n",
       "    Null deviance: 33643  on 24395  degrees of freedom\n",
       "Residual deviance: 29832  on 23815  degrees of freedom\n",
       "AIC: 30994\n",
       "\n",
       "Number of Fisher Scoring iterations: 11\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.aic=step(model.team_name,trace = F)\n",
    "summary(model.aic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Type 'citation(\"pROC\")' for a citation.\n",
      "\n",
      "\n",
      "Attaching package: ‘pROC’\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:stats’:\n",
      "\n",
      "    cov, smooth, var\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(pROC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n",
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>0.716841941468418</li><li>0.716841941468418</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 0.716841941468418\n",
       "\\item 0.716841941468418\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 0.716841941468418\n",
       "2. 0.716841941468418\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 0.7168419 0.7168419"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pred.team_name=predict(model.team_name,data)\n",
    "pred.aic=predict(model.aic,data)\n",
    "Y=data$home_win\n",
    "roc.team_name=roc(Y,pred.team_name)\n",
    "roc.aic=roc(Y,pred.aic)\n",
    "c(roc.team_name$auc,roc.aic$auc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Plot with title “aic team_name”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "par(mfrow=c(1,3))\n",
    "plot(roc.team_name,main=\"full team_name\")\n",
    "plot(roc.aic,main=\"aic team_name\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 所有数值型的列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "exclude_cols <- c(\n",
    "    \"season\",\n",
    "    \"league_name\",\n",
    "    \"home_team_long_name\",\n",
    "    \"away_team_long_name\",\n",
    "    \"home_player_1_name\",\n",
    "    \"home_player_2_name\",\n",
    "    \"home_player_3_name\",\n",
    "    \"home_player_4_name\",\n",
    "    \"home_player_5_name\",\n",
    "    \"home_player_6_name\",\n",
    "    \"home_player_7_name\",\n",
    "    \"home_player_8_name\",\n",
    "    \"home_player_9_name\",\n",
    "    \"home_player_10_name\",\n",
    "    \"home_player_11_name\",\n",
    "    \"away_player_1_name\",\n",
    "    \"away_player_2_name\",\n",
    "    \"away_player_3_name\",\n",
    "    \"away_player_4_name\",\n",
    "    \"away_player_5_name\",\n",
    "    \"away_player_6_name\",\n",
    "    \"away_player_7_name\",\n",
    "    \"away_player_8_name\",\n",
    "    \"away_player_9_name\",\n",
    "    \"away_player_10_name\",\n",
    "    \"away_player_11_name\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "data_for_model <- data[, !names(data) %in% exclude_cols]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "model.all=glm(home_win ~ . - 1,family=binomial(link=logit),data=data_for_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "Call:\n",
       "glm(formula = home_win ~ . - 1, family = binomial(link = logit), \n",
       "    data = data_for_model)\n",
       "\n",
       "Coefficients:\n",
       "                                        Estimate Std. Error z value Pr(>|z|)\n",
       "stage                                  3.176e-03  1.329e-03   2.390 0.016866\n",
       "home_buildUpPlaySpeed                 -9.818e-04  1.552e-03  -0.633 0.527022\n",
       "home_buildUpPlayPassing                7.771e-04  1.668e-03   0.466 0.641244\n",
       "home_chanceCreationPassing            -1.551e-03  1.662e-03  -0.933 0.350736\n",
       "home_chanceCreationCrossing            1.045e-03  1.506e-03   0.694 0.487649\n",
       "home_chanceCreationShooting           -1.077e-04  1.628e-03  -0.066 0.947240\n",
       "home_defencePressure                   3.858e-03  2.026e-03   1.904 0.056880\n",
       "home_defenceAggression                -3.229e-04  1.854e-03  -0.174 0.861702\n",
       "home_defenceTeamWidth                 -4.212e-04  1.959e-03  -0.215 0.829750\n",
       "away_buildUpPlaySpeed                  4.394e-04  1.557e-03   0.282 0.777726\n",
       "away_buildUpPlayPassing                1.235e-03  1.667e-03   0.741 0.458843\n",
       "away_chanceCreationPassing             1.411e-03  1.665e-03   0.847 0.396740\n",
       "away_chanceCreationCrossing           -1.908e-03  1.507e-03  -1.266 0.205524\n",
       "away_chanceCreationShooting            4.295e-03  1.638e-03   2.622 0.008740\n",
       "away_defencePressure                  -1.487e-04  2.025e-03  -0.073 0.941480\n",
       "away_defenceAggression                -3.197e-03  1.856e-03  -1.723 0.084848\n",
       "away_defenceTeamWidth                 -1.602e-04  1.960e-03  -0.082 0.934824\n",
       "home_player_avg_overall_rating         6.912e-02  1.761e-02   3.926 8.64e-05\n",
       "home_player_avg_potential              2.148e-02  1.333e-02   1.612 0.107004\n",
       "home_player_avg_crossing              -5.764e-03  6.094e-03  -0.946 0.344182\n",
       "home_player_avg_finishing              8.661e-03  5.454e-03   1.588 0.112313\n",
       "home_player_avg_heading_accuracy      -1.352e-02  5.890e-03  -2.296 0.021694\n",
       "home_player_avg_short_passing          1.093e-02  9.389e-03   1.164 0.244354\n",
       "home_player_avg_volleys                1.574e-02  4.758e-03   3.309 0.000936\n",
       "home_player_avg_dribbling             -2.634e-03  7.187e-03  -0.367 0.713979\n",
       "home_player_avg_curve                  1.224e-03  4.957e-03   0.247 0.804980\n",
       "home_player_avg_free_kick_accuracy     4.860e-03  4.636e-03   1.048 0.294505\n",
       "home_player_avg_long_passing          -6.353e-03  7.418e-03  -0.856 0.391747\n",
       "home_player_avg_ball_control           2.017e-02  1.072e-02   1.881 0.059976\n",
       "home_player_avg_acceleration           7.535e-04  9.052e-03   0.083 0.933664\n",
       "home_player_avg_sprint_speed          -4.199e-03  8.771e-03  -0.479 0.632096\n",
       "home_player_avg_agility                7.428e-03  6.406e-03   1.160 0.246231\n",
       "home_player_avg_reactions              3.103e-03  7.827e-03   0.396 0.691802\n",
       "home_player_avg_balance                6.837e-03  5.125e-03   1.334 0.182181\n",
       "home_player_avg_shot_power             9.361e-04  5.369e-03   0.174 0.861574\n",
       "home_player_avg_jumping                3.769e-03  5.077e-03   0.742 0.457870\n",
       "home_player_avg_stamina                1.671e-03  5.848e-03   0.286 0.775086\n",
       "home_player_avg_strength              -9.237e-03  6.421e-03  -1.438 0.150314\n",
       "home_player_avg_long_shots            -7.408e-03  5.787e-03  -1.280 0.200521\n",
       "home_player_avg_aggression             4.633e-03  4.700e-03   0.986 0.324278\n",
       "home_player_avg_interceptions          9.131e-03  5.466e-03   1.671 0.094802\n",
       "home_player_avg_positioning           -1.087e-02  5.050e-03  -2.153 0.031334\n",
       "home_player_avg_vision                 2.384e-02  5.435e-03   4.386 1.16e-05\n",
       "home_player_avg_penalties              1.974e-03  4.552e-03   0.434 0.664511\n",
       "home_player_avg_marking               -1.644e-02  7.074e-03  -2.323 0.020162\n",
       "home_player_avg_standing_tackle       -3.284e-03  8.379e-03  -0.392 0.695114\n",
       "home_player_avg_sliding_tackle         1.237e-02  6.490e-03   1.906 0.056694\n",
       "home_player_avg_gk_diving             -2.287e-02  1.177e-02  -1.943 0.051965\n",
       "home_player_avg_gk_handling            2.466e-03  1.425e-02   0.173 0.862599\n",
       "home_player_avg_gk_kicking             1.682e-03  5.263e-03   0.320 0.749252\n",
       "home_player_avg_gk_positioning        -7.388e-04  1.454e-02  -0.051 0.959476\n",
       "home_player_avg_gk_reflexes           -1.571e-02  1.424e-02  -1.103 0.269843\n",
       "away_player_avg_overall_rating        -7.606e-02  1.760e-02  -4.322 1.55e-05\n",
       "away_player_avg_potential             -3.374e-02  1.326e-02  -2.544 0.010946\n",
       "away_player_avg_crossing               1.376e-03  6.009e-03   0.229 0.818951\n",
       "away_player_avg_finishing             -9.877e-03  5.421e-03  -1.822 0.068477\n",
       "away_player_avg_heading_accuracy      -2.269e-03  5.837e-03  -0.389 0.697469\n",
       "away_player_avg_short_passing         -8.120e-03  9.302e-03  -0.873 0.382661\n",
       "away_player_avg_volleys               -2.471e-03  4.726e-03  -0.523 0.601009\n",
       "away_player_avg_dribbling              9.398e-03  7.104e-03   1.323 0.185885\n",
       "away_player_avg_curve                  3.652e-03  4.913e-03   0.743 0.457204\n",
       "away_player_avg_free_kick_accuracy     6.527e-07  4.633e-03   0.000 0.999888\n",
       "away_player_avg_long_passing          -8.535e-03  7.387e-03  -1.155 0.247891\n",
       "away_player_avg_ball_control          -4.976e-03  1.062e-02  -0.468 0.639502\n",
       "away_player_avg_acceleration           1.262e-02  9.002e-03   1.402 0.160892\n",
       "away_player_avg_sprint_speed          -1.223e-02  8.714e-03  -1.404 0.160351\n",
       "away_player_avg_agility               -1.050e-02  6.357e-03  -1.651 0.098643\n",
       "away_player_avg_reactions              1.140e-03  7.798e-03   0.146 0.883732\n",
       "away_player_avg_balance               -1.385e-02  5.154e-03  -2.687 0.007204\n",
       "away_player_avg_shot_power            -3.344e-03  5.292e-03  -0.632 0.527424\n",
       "away_player_avg_jumping               -6.677e-03  5.088e-03  -1.312 0.189391\n",
       "away_player_avg_stamina               -1.583e-03  5.829e-03  -0.272 0.785919\n",
       "away_player_avg_strength               4.431e-03  6.448e-03   0.687 0.491994\n",
       "away_player_avg_long_shots             1.180e-02  5.745e-03   2.054 0.040012\n",
       "away_player_avg_aggression             9.147e-03  4.719e-03   1.938 0.052577\n",
       "away_player_avg_interceptions          5.234e-03  5.432e-03   0.964 0.335235\n",
       "away_player_avg_positioning            4.922e-03  4.978e-03   0.989 0.322766\n",
       "away_player_avg_vision                -1.305e-02  5.374e-03  -2.428 0.015199\n",
       "away_player_avg_penalties             -2.566e-03  4.524e-03  -0.567 0.570633\n",
       "away_player_avg_marking                1.200e-02  7.115e-03   1.687 0.091580\n",
       "away_player_avg_standing_tackle        6.135e-03  8.340e-03   0.736 0.461957\n",
       "away_player_avg_sliding_tackle        -2.295e-02  6.551e-03  -3.503 0.000460\n",
       "away_player_avg_gk_diving              2.783e-02  1.172e-02   2.374 0.017608\n",
       "away_player_avg_gk_handling           -7.053e-03  1.429e-02  -0.494 0.621589\n",
       "away_player_avg_gk_kicking             6.419e-03  5.267e-03   1.219 0.222938\n",
       "away_player_avg_gk_positioning         1.134e-03  1.457e-02   0.078 0.937985\n",
       "away_player_avg_gk_reflexes           -9.982e-03  1.430e-02  -0.698 0.485223\n",
       "home_player_avg_height                 2.122e-02  9.761e-03   2.174 0.029720\n",
       "home_player_avg_weight                 5.444e-03  4.558e-03   1.194 0.232311\n",
       "away_player_avg_height                -1.928e-02  9.787e-03  -1.970 0.048837\n",
       "away_player_avg_weight                -3.938e-03  4.553e-03  -0.865 0.387077\n",
       "home_player_avg_age                   -1.151e-02  1.326e-02  -0.868 0.385415\n",
       "away_player_avg_age                   -6.948e-03  1.328e-02  -0.523 0.600736\n",
       "home_player_avg_attacking_work_rate_n  1.528e-01  5.208e-02   2.935 0.003337\n",
       "away_player_avg_attacking_work_rate_n -5.837e-02  5.181e-02  -1.127 0.259908\n",
       "home_player_avg_defensive_work_rate_n  4.667e-02  5.243e-02   0.890 0.373347\n",
       "away_player_avg_defensive_work_rate_n -8.813e-02  5.243e-02  -1.681 0.092781\n",
       "                                         \n",
       "stage                                 *  \n",
       "home_buildUpPlaySpeed                    \n",
       "home_buildUpPlayPassing                  \n",
       "home_chanceCreationPassing               \n",
       "home_chanceCreationCrossing              \n",
       "home_chanceCreationShooting              \n",
       "home_defencePressure                  .  \n",
       "home_defenceAggression                   \n",
       "home_defenceTeamWidth                    \n",
       "away_buildUpPlaySpeed                    \n",
       "away_buildUpPlayPassing                  \n",
       "away_chanceCreationPassing               \n",
       "away_chanceCreationCrossing              \n",
       "away_chanceCreationShooting           ** \n",
       "away_defencePressure                     \n",
       "away_defenceAggression                .  \n",
       "away_defenceTeamWidth                    \n",
       "home_player_avg_overall_rating        ***\n",
       "home_player_avg_potential                \n",
       "home_player_avg_crossing                 \n",
       "home_player_avg_finishing                \n",
       "home_player_avg_heading_accuracy      *  \n",
       "home_player_avg_short_passing            \n",
       "home_player_avg_volleys               ***\n",
       "home_player_avg_dribbling                \n",
       "home_player_avg_curve                    \n",
       "home_player_avg_free_kick_accuracy       \n",
       "home_player_avg_long_passing             \n",
       "home_player_avg_ball_control          .  \n",
       "home_player_avg_acceleration             \n",
       "home_player_avg_sprint_speed             \n",
       "home_player_avg_agility                  \n",
       "home_player_avg_reactions                \n",
       "home_player_avg_balance                  \n",
       "home_player_avg_shot_power               \n",
       "home_player_avg_jumping                  \n",
       "home_player_avg_stamina                  \n",
       "home_player_avg_strength                 \n",
       "home_player_avg_long_shots               \n",
       "home_player_avg_aggression               \n",
       "home_player_avg_interceptions         .  \n",
       "home_player_avg_positioning           *  \n",
       "home_player_avg_vision                ***\n",
       "home_player_avg_penalties                \n",
       "home_player_avg_marking               *  \n",
       "home_player_avg_standing_tackle          \n",
       "home_player_avg_sliding_tackle        .  \n",
       "home_player_avg_gk_diving             .  \n",
       "home_player_avg_gk_handling              \n",
       "home_player_avg_gk_kicking               \n",
       "home_player_avg_gk_positioning           \n",
       "home_player_avg_gk_reflexes              \n",
       "away_player_avg_overall_rating        ***\n",
       "away_player_avg_potential             *  \n",
       "away_player_avg_crossing                 \n",
       "away_player_avg_finishing             .  \n",
       "away_player_avg_heading_accuracy         \n",
       "away_player_avg_short_passing            \n",
       "away_player_avg_volleys                  \n",
       "away_player_avg_dribbling                \n",
       "away_player_avg_curve                    \n",
       "away_player_avg_free_kick_accuracy       \n",
       "away_player_avg_long_passing             \n",
       "away_player_avg_ball_control             \n",
       "away_player_avg_acceleration             \n",
       "away_player_avg_sprint_speed             \n",
       "away_player_avg_agility               .  \n",
       "away_player_avg_reactions                \n",
       "away_player_avg_balance               ** \n",
       "away_player_avg_shot_power               \n",
       "away_player_avg_jumping                  \n",
       "away_player_avg_stamina                  \n",
       "away_player_avg_strength                 \n",
       "away_player_avg_long_shots            *  \n",
       "away_player_avg_aggression            .  \n",
       "away_player_avg_interceptions            \n",
       "away_player_avg_positioning              \n",
       "away_player_avg_vision                *  \n",
       "away_player_avg_penalties                \n",
       "away_player_avg_marking               .  \n",
       "away_player_avg_standing_tackle          \n",
       "away_player_avg_sliding_tackle        ***\n",
       "away_player_avg_gk_diving             *  \n",
       "away_player_avg_gk_handling              \n",
       "away_player_avg_gk_kicking               \n",
       "away_player_avg_gk_positioning           \n",
       "away_player_avg_gk_reflexes              \n",
       "home_player_avg_height                *  \n",
       "home_player_avg_weight                   \n",
       "away_player_avg_height                *  \n",
       "away_player_avg_weight                   \n",
       "home_player_avg_age                      \n",
       "away_player_avg_age                      \n",
       "home_player_avg_attacking_work_rate_n ** \n",
       "away_player_avg_attacking_work_rate_n    \n",
       "home_player_avg_defensive_work_rate_n    \n",
       "away_player_avg_defensive_work_rate_n .  \n",
       "---\n",
       "Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1\n",
       "\n",
       "(Dispersion parameter for binomial family taken to be 1)\n",
       "\n",
       "    Null deviance: 33820  on 24396  degrees of freedom\n",
       "Residual deviance: 30505  on 24299  degrees of freedom\n",
       "AIC: 30699\n",
       "\n",
       "Number of Fisher Scoring iterations: 4\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(model.all)"
   ]
  }
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